Browse Topic: Computer integrated manufacturing

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A unified Framework for Industry 4.0 based Automotive Homologation in India2024-26-036001/16/2024
The term Industry 4.0 is well known in contemporary automotive landscape. It encompasses a smart integrated framework of IoT (Internet of Things) and industrial automation with machine learning, artificial intelligence and big data analytics to arrive at optimal solutions to running the processes in a streamlined, efficient and effective manner. Industry 4.0 has assumed critical significance in the contemporary era of people working from remote locations to operate processes in order to build products, thus ensuring business continuity. Consequently, it follows that if industry 4.0 is applied to automotive homologation activity, it will lead to better evaluation, better fidelity of testing and accurate judgement of the product under test with regards to its certification. The author hereby elucidates a unified Industry 4.0 Framework for Automotive homologation in India which is the need of the hour. This framework consists of five elements. The first is use of IoT to ensure optimal use
S Thipse, Yogesh
Aerospace Digital Design and Manufacturing Services- DDMS2022-26-114805/26/2022
Digital Design, Manufacturing & Services (DDMS) is a digital approach to the way aerospace products are designed, manufactured, operated & serviced. The DDMS process focuses on digital methods & tools for end to end digital connectivity of data to meet the business process objectives like cost reduction and time to market, meeting our customers' expectations for quality, safety, functional and environmental performance. The paper covers DDMS technology where unique tools and technologies are developed to meet individual organization requirement which includes study of current available infrastructures in terms design, manufacturing, existing tools etc. Digital serves the long-term perspective, which is the next generation of planes, the new development of the new systems. Digital manufacturing is the use of an integrated, computer-based system comprised of simulation, 3D visualization, analytics and collaboration tools to create product and manufacturing process definitions
R, Suresh M.
SMART Manufacturing with Augmented Reality2022-26-124005/26/2022
Aircraft Manufacturing procedures are very critical and always required skillful engineer who need to follow different process and procedure during daily work. The challenge is not only to identify right tools and manuals but also to keep track of operator usage data and behavior. With Augmented reality, intelligent tools, and analytics we can provide a new lease of life to first-line assembly engineers. The objective is how AR can help us to reduce rework or scrap with the concept of Industry 4.0 were integrating with cutting edge technologies like machine learning, and the Internet of things to meet the fundamental requirements during manufacturing. Smart Manufacturing consists of four major components Cyber-physical systems, IoT, Cloud computing, and Cognitive computing. Integrating AR with IoT our objective is to achieve Cyber-physical systems connectivity and fill the gap between the smallest physical assets to be connected with digital infrastructure. It can help us to Increase
Sahu, Parimal
Blockchain based Aircraft Maintenance Records2022-26-114005/26/2022
Currently, Aircraft records and many other archives are in paper format. Paper records like maintenance records included in logbook are cumbersome, inefficient, and insecure compared to the capabilities of modern technology. Blockchain technology is the next step in creating process efficiencies, security, and integrity of maintenance data over the lifetime of an aircraft/engine. Changing paper records to digital records using blockchain is the foundation for a better future towards digital twin and analytics. Blockchain based maintenance can connect a world of data between various groups for extended periods of time by creating a secure digital thread. As regulatory requirements grow and cyber threats loom, blockchain technology can assist in the integrity and security of the captured data. The objective of this paper is to describe the advantages of migrating to digital applications using blockchain and how it can secure the future of the industry.
Jayarajan, Keerthi
Digital Manufacturing Execution System for Special Processes 2022-26-116805/26/2022
Processes like Chrome Conversion Coating, Painting, Temper ETCH are categorized as Special Process in Aerospace. They have many variables in the process which need to be monitored, recorded and inter relationship studied using ML & AI. Study of Process Parameters using IIoT, their impact on Quality and the impact on life cycle (Industry 4.0) due to the process parameters maintained at that time of manufacture needs specialized, customized software for each and every process. The said software needs to have checks and alerts for maintenance of Process parameters. It should, on a daily basis do a few lab measurements to cross check whether the automated measuring accuracy is correct or not. Regular empirical calculations for the concentration of baths should be done and an 'alarm' needs to be raised if any mismatch with actual measurement is found. This way regular checking of measuring instruments should be carried out. This also ensures that the issue is found out before it translates
Damodaran, Ramamurthy
The role of Additive Manufacturing in the era of Industry 4.0 2022-26-116905/26/2022
Progressive innovations enable businesses to stay ahead of competition while also increasing profits. These contributing dynamics have allowed the development of a number of advanced innovations, but no other paradigm has had a larger effect in recent decades than Industry 4.0. The unification of intelligent technological advances and manufacturing systems is promoted by Industry 4.0. Amongst which, additive Manufacturing(AM) plays a critical role in solving some of the 4th industrial revolution's key pressing concerns. Manufacturing was never more versatile, effective, or mechanized than in the Internet of Things(IOT) epoch. One can now develop ever-more complicated innovations which merge tangible items and data management. Automated machineries are capable of communicating with one another, exchanging and processing data, evaluating their operational situation in order to be self-adaptable and sometimes even making selections. All of which happens on its own with very little human
N, Harikeerthana, Kumar PhD, Sachin
Blockchain Enabled Sustainability in Industry 4.0 for Aerospace domain2022-26-116205/26/2022
Industry 4.0 is a fusion of the innovative production practices that enable manufacturers to accomplish their business objectives in a lot more agile manner. Investigation has been performed on various Industry 4.0 technologies like Artificial Intelligence, Big data, Internet of Things (IoT), Blockchain and Sustainability and how they could create significant interruptions in recent years. These technologies provide various opportunities in the world of manufacturing and supply chain. Blockchain is a next-generation advancement of information technology for achieving sustainability in businesses and industries. The Impact of block chain is beyond economic parameter, it is transforming social interaction, public relations and affect options for sustainable development. The fundamental expertise of Blockchain is data privacy, transparency, value transfer & process effectiveness and automation, which could be leveraged to handle the efficient adjustments necessary to produce sustainable
Veeramalla, Shashi Kanth, Kumar, Vivek
Digitalization of a climate and altitude simulation test bench for handheld power tools to automate its thermal management system2022-01-072703/29/2022
Mechanical systems accomplish their tasks better when enhanced with cyber technologies. With the rapidly escalating desire for high efficiency, optimization and flexibility, these physical systems ought to be integrated with cyber technologies that enhance exhaustive manipulation of resources and unsurpassed productivity. The gateway for such a synergetic integration can be referred to as digitization. Details regarding the digitization of a High-altitude Simulation chamber are discussed thoroughly in this paper. The simulation chamber was originally designed and developed as a test bench to study the characteristics of alternative fuels used in the engines of handheld tools in different altitudes and thermal conditions. It encompasses all the possible realistic temperature variations with altitude raising to 3500m above sea level. Since the testbed’s effectiveness is highly dependent on achieving a combination of desired temperature and altitude values to maintain them for a defined
Nenninger, Philipp, Hadamek, Christof, Renner, Marius, Derbie, Arsema, Kettner, Maurice, Aslan, Ferhat
Curing the Porosity Problem in Additive Manufacturing21AERP08_0208/01/2021
Additive manufacturing, also known as 3D printing, allows the fast and cost-effective production of complex high-quality components in a range of materials. The rise of this technology has been fast, and it is rapidly altering the manufacturing landscape. In 2019, the global additive manufacturing market size was valued at $11.58 billion and is predicted to grow at a CAGR (compound annual growth rate) exceeding 14% from 2020 to 2027 (GVR). Additionally, research from Deloitte shows that additive manufacturing is empowering industry 4.0.
Digital Thread and the Impact on Weapon System Acquisition Cost Growth2021-01-002603/02/2021
The traditional acquisition and development cycles of a weapon system by government agencies goes through multiple stages throughout the life cycle of the product. Over the last few decades, many of the United States military equipment had experienced acquisition cost growth. Many studies by the Department of Defense indicates that the cost growth is a result of multiple factors including the development and manufacturing stages of the product. Organizations with multiple operation sites that goes across multiple states or even countries and continents are finding it increasingly difficult to share informational databases to ensure the corporate synergy between multiple sites or divisions. For such organizations, there exist the need to synchronize the operations and have standard and common database where everything is stored and equally accessed by different sites. Digital transformation sounds real exotic and futuristic and promise to reduce operation costs of big organizations
Hamada, Mohamed Yousef
Modern HMI Software Propels Industry 4.0TBMG-3851402/01/2021
Human-machine interface (HMI) software is continually improving, now providing IT and operations technology (OT) capabilities. Once confined to the role of machine and process visualization and control, modern unified HMI software now delivers better user interfaces, containerization, and remote device management — all wrapped up in a cybersecure package.
Innovation on a Larger Scale: Robotic Fiber Placement and 3D PrintingTBMG-3850602/01/2021
Washington, DC
Technology Leaders: Industry Renaissance Transforms Invention, Learning, Production, and TradeTBMG-3819612/01/2020
A profound societal transformation is underway on a scale not seen since the great European Renaissance. Then, Gutenberg’s printing press made books — and the knowledge they contained — available to all. Today, the new book is the experience. Digital technology, which enables virtual experiences, is enabling an Industry Renaissance that is shaking all sectors of society with new ways, both real and virtual, of inventing, learning, producing, and trading.
Printable Light Sensors Can See ColorsTBMG-3797511/01/2020
Cameras, light barriers, and movement sensors all work with light sensors that are already found in many applications. In the future, these sensors might also play an important role in telecommunications, as they enable data transmission via light. Printable light sensors have been developed that can see colors.
Taking Benchtop Fluid Dispensing to a New Level of Process ControlTBMG-3807611/01/2020
Pneumatic benchtop fluid dispensers encompass a range of models that can accommodate specific fluid application processes with a wide scope of functionality. The latest benchtop dispensers provide a high degree of process control, capable of dispensing adhesives, solder pastes, and all other assembly fluids with high consistency. Handling fluid dispensing of dots, beads, and fills under a broad range of conditions, these units are equipped with multiple capabilities to refine the dispensing process. Features such as 0–100 psi air pressure regulation, timed-shots, vacuum control to keep thin fluids from dripping, digital time/pressure displays, and electric foot pedals help operators maintain process control.
Laser Inversion Enables Multi-Material 3D PrintingTBMG-3780610/01/2020
Additive manufacturing, or 3D printing, uses digital manufacturing processes to fabricate components that are light, strong, and require no special tooling to produce. One of the most widely used manufacturing processes, selective laser sintering (SLS), prints parts out of micron-scale material powders using a laser — the laser heats the particles to the point where they fuse together to form a solid mass.
AI Software Enables Real-Time 3D Printing Quality AssessmentTBMG-3781710/01/2020
Researchers have developed artificial intelligence (AI) software for powder bed 3D printers that assesses the quality of parts in real time without the need for expensive characterization equipment. The software, named Peregrine, supports the advanced manufacturing “digital thread” that collects and analyzes data through every step of the manufacturing process, from design and feedstock selection, to print build and material testing.
Unsettled Technology Domains in Industrial Smart Assembly Tools Supporting Industry 4.0EPR202001809/29/2020
“Smart” refers to tools that are “specific, measurable, achievable, reasonable/realistic, and time bound.” Smart assembly tools are used in many industries, including automotive, aerospace, and space for measuring, inspecting, gauging, drilling, and installing all existing fastening systems. Inside the Industry 4.0 environment, these tools have a huge influence on Information and Communication Technology (ICT), assembly cost reduction, process control, and even the product and process quality.These four domains—and their undefined nature—are the focus of this SAE EDGE™ Research Report. The technical issues identified here need to be discussed, the goals clarifying the scope of the industry-wide need to be aligned, and the issues requiring standardization need prioritized.NOTE: SAE EDGE Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE Research Reports is to
Roye, Thorsten
Advanced Sensing Solutions for Cost-Effective Machine BuildingTBMG-3700606/01/2020
Sensing technology has a major presence in manufacturing machinery. It provides the foundation for maintaining consistent quality and detecting any lapses in machine performance. If subtle changes in the physical properties of a machine can cause it to fail, then the sensors responsible for detecting those changes can save manufacturers lengthy downtime and repair costs.
Improving Robotic Accuracy through Iterative Teaching2020-01-001403/10/2020
Industrial robots have been around since the 1960s and their introduction into the manufacturing industry has helped in automating otherwise repetitive and unsafe tasks, while also increasing the performance and productivity for the companies that adopted the technology. As the majority of industrial robotic arms are deployed in repetitive tasks, the pose accuracy is much less of a key driver for the majority of consumers (e.g. the automotive industry) than speed, payload, energy efficiency and unit cost. Consequently, manufacturers of industrial robots often quote repeatability as an indication of performance whilst the pose accuracy remains comparatively poor. Due to their lack in accuracy, robotic arms have seen slower adoption in the aerospace industry where high accuracy is of utmost importance. However if their accuracy could be improved, robots offer significant advantages, being comparatively inexpensive and more flexible than bespoke automation. Extensive research has been
Sawyer, Daniela, Tinkler, Lloyd, Roberts, Nathan, Diver, Ryan
Item Level Serialization and Traceability of Aerospace Fasteners Based on Individual Inherent Surface Patterns2020-01-001203/10/2020
Item level serialization traceability, defined as the ability to track and trace products, items or components through the supply chain from product manufacturing all the way to the end of life service, has significant value in the aerospace industry. Many items become susceptible to counterfeiting when their origin and authenticity cannot be verified and Item level serialization and traceability fosters supply chain integrity. Data Matrix and radio-frequency identification (RFID) are two common methods that enable detailed information about the manufacturer. However, these methods are not generally compatible with fasteners due to the small size of the fasteners and the cost of these methods. Fasteners are the most commonly used parts on an aircraft and rely on lot level traceability associated with packaging to provide a level of supply chain risk management. However, the association of individual fasteners to parental lots is often lost once the fasteners are removed from packaging
Haylock, Luke Leonard, Schmid-Schirling, Tobias, Saum lng, Norbert, Carl, Daniel, Harde, Jens, Rösing, Jürgen, Murray, Nils, Timpe, Torsten
Collaboration: A Powerful, Effective Strategy for Medtech Companies Moving to Embrace Industry 4.0 and Drive Digital TransformationTBMG-3627603/01/2020
The digital revolution under way in medtech manufacturing will continue to transform the industry into a more connected, efficient, and agile ecosystem. However, the challenge for many companies is to plot the best way to embrace various existing and new technologies and move toward smarter manufacturing — their version of the “factory of the future.” Every company is at a different stage of digital transformation. Some companies are wholeheartedly piloting, integrating, and scaling disruptive technologies within their operations in a bid to realize greater supply chain and internal operational benefits. Others are at a different place in their digital journey, identifying incremental opportunity areas where they can demonstrate initial impact and justify further investment.
Digital DHRs: Automating the Last Mile of the Production ProcessTBMG-3627403/01/2020
The smart factory has been a top manufacturing initiative for years as shop floors continue to become digital, automated, and intelligent. Today, companies are investing heavily in smart manufacturing, intelligent automation, and advanced robotics. A 2019 report from PricewaterhouseCoopers and the Manufacturing Institute found that 73 percent of manufacturers planned to increase their investment in smart factory technology over the next year.1
Leading Women in Engineering & Science: Mahsa Nakhjiri, Senior Director of Technical Product Management, FlexTBMG-3624703/01/2020
Implementing an Aerospace Factory of the FutureTBMG-3605602/01/2020
Companies across a wide range of segments are introducing Industry 4.0 (i4.0) technology at a rapid pace, turning the next-generation vision of manufacturing — the Factory of the Future — into reality. Many of the advances in this transformation have been in highly automated industries such as vehicle manufacturing. Conversely, the aerospace industry, with its staged approach to assembling aircraft, satellites and other products, has only begun to investigate how i4.0 technologies can improve operations, throughput, quality control and cost challenges.
Smart Manufacturing ControlTBMG-3599702/01/2020
The manufacturing process of today involves many challenges, from mass production down to a lot size of one. The CNC controls in factories have to master this market trend without an adequate amount of skilled labor in the US manufacturing world. In essence, manufacturing is facing a renaissance in the CNC control technology shift.
Going Beyond the Basics: Innovative Step Motor Designs Give Machine Designers More Options for Motion ControlTBMG-3600202/01/2020
Machine and system designers now have greater options in choosing a motor to meet motion control requirements. While basic step motors with open-loop control schemes abound in the marketplace, different motor and drive designs offer interesting solutions for smarter, faster, quieter operations with more torque. Some incorporate smart drives for higher-level streaming commands or onboard motion control, while others add encoders for greater torque and accuracy. These options can offer better solutions as applications become more sophisticated and demanding, while companies address initiatives for greener operations. This article outlines different step motor options available on the market and considerations for their use.
5G in Manufacturing: What’s Here and What’s to ComeTBMG-3596702/01/2020
Industry 4.0 — the term that originated in Germany to describe the fourth industrial revolution of cyber-physical systems — is being closely connected today with 5G, which is often referred to as the fifth-generation mobile network. This connection allows manufacturers to further improve factory automation, human/machine interfaces, and mobility in their processes.
Precision 3D BioprinterTBMG-3605702/01/2020
nScrypt Inc. Orlando, FL 407-275-4720
Implementing an Aerospace Factory OF THE FUTURE20AERP02_0402/01/2020
Companies across a wide range of segments are introducing Industry 4.0 (i4.0) technology at a rapid pace, turning the next-generation vision of manufacturing - the Factory of the Future - into reality. Many of the advances in this transformation have been in highly automated industries such as vehicle manufacturing. Conversely, the aerospace industry, with its staged approach to assembling aircraft, satellites and other products, has only begun to investigate how i4.0 technologies can improve operations, throughput, quality control and cost challenges.
In-House PCB Prototyping with Additive ManufacturingTBMG-3581301/01/2020
If you're interested in pursuing in-house PCB prototyping and testing, there are several routes you can take to create functional prototypes for new products. The best one depends on a number of factors, with product complexity being the primary consideration. For highly complex, low-volume products, using an additive manufacturing system is often the best choice for rapid prototyping thanks to its high throughput and fixed cost structure.
NASA's Thirst for Water on Mars Quenched by Student InnovatorsTBMG-3579401/01/2020
Protolabs Maple Plain, MN
The Role of Sensors in the Evolution of RoboticsTBMG-3560912/01/2019
At one time, robotics was considered more science fiction than reality. That's changing. Today, robots are increasingly playing a role in our everyday lives. They're zooming around our homes to pick up dust, helping surgeons perform operations with even more precision, sniffing out suspicious packages for law enforcement, and on the factory floor, they're performing all kinds of tasks for automotive, electronics, and industrial manufacturing companies.
Streamlining Post-Processing in Additive ManufacturingTBMG-3566612/01/2019
Undoubtedly there are many benefits associated with the use of additive manufacturing (AM) as a production technology. On a pan-industrial basis, manufacturers exploit the fact that through the use of AM they can not only build complex parts, in one piece, which were previously impossible, but they can also build stronger, lighter-weight parts, reduce material consumption, and benefit from assembly component consolidation across a range of applications. These advantages have all been well documented during the last 10-20 years as AM has emerged as a truly disruptive technology for prototyping and production, and are invariably seen as being enabled by the additive hardware that builds the parts. In reality, however, this is a partial picture, particularly for serial production applications of AM. AM hardware systems are actually just one part – albeit a vital part – of an extensive ecosystem of technologies that enable AM, both pre- and post-build.
Streamlining Post-Processing in Additive Manufacturing19AERP12_0412/01/2019
Undoubtedly there are many benefits associated with the use of additive manufacturing (AM) as a production technology. On a pan-industrial basis, manufacturers exploit the fact that through the use of AM they can not only build complex parts, in one piece, which were previously impossible, but they can also build stronger, lighter-weight parts, reduce material consumption, and benefit from assembly component consolidation across a range of applications. These advantages have all been well documented during the last 10-20 years as AM has emerged as a truly disruptive technology for prototyping and production, and are invariably seen as being enabled by the additive hardware that builds the parts. In reality, however, this is a partial picture, particularly for serial production applications of AM. AM hardware systems are actually just one part - albeit a vital part - of an extensive ecosystem of technologies that enable AM, both pre- and post-build. By focusing just on the AM build
Vision Based Surface Roughness Characterization of Flat Surfaces Machined with EDM2019-28-014810/11/2019
Surface roughness measurement is an important one in any manufacturing next to dimensions. In this investigation, a vision system and image processing tools were used to develop reliable surface roughness characterization technique for Electrical Discharge Machined surfaces. A CMOS camera with red LED light source were used for capturing images of EDMed surfaces. A separate signal vector generated for all the images from its image pixel intensity matrices. The mean, skewness and kurtosis were obtained from the signal vector. The mean, skewness and kurtosis of the images signal vector correlates very well with the stylus measured hybrid roughness parameters Rda and Rdq. Hence the technique may be preferred for online surface roughness characterization of Electrical Discharge Machined (EDMed) surfaces.
Ali, Mahashar, Jailani, Siddhi, Mariappan, Murugan, Anandan, Mangalnath, Pavithran, Vignesh
Automation: The Future of Medical ManufacturingTBMG-3536710/01/2019
Manufacturers in the medical industry face unique challenges in terms of product mix, throughput requirements, quality standards, and regulatory guidelines. Whether a company is developing imaging equipment, orthopedic implants, or diagnostics, the manufacturing process must be absolutely error free while delivering high throughput. Device companies are looking more and more to factory automation to ensure that they are addressing these disparate requirements.
Build IIoT Networks with Smart Control and HMI SoftwareTBMG-3487908/01/2019
Programmable automation controllers (PACs) play the primary role in IIoT systems. Also referred to as machine controllers, PACs provide a centralized architecture; they act as the central programmable logic controller (PLC) as well as motion, vision, pneumatic, hydraulic controller, and even embedded human-machine interface (HMI) or visualization (Figure 1). The benefit of the PAC approach is that the program does not need to share tags between devices due to components being part of the same device and using the same logic. This facilitates IIoT capabilities and reduces programming time. This is critical to IIoT as it allows the flow of accurate, actionable data to easily transfer within the machine and out to the user or server to make critical decisions with that data.
Introduction to Advanced ManufacturingR-46307/24/2019
Introduction to Advanced Manufacturing was written by two experienced and passionate engineers whose mission is to make the subject of advanced manufacturing easy to understand and a practical solution to everyday problems. Harik, Ph.D. and Wuest, Ph.D., professors who have taught the subject for decades, combined their expertise to develop both an applied manual and a theoretical reference that addresses many different needs. Introduction to Advanced Manufacturing covers the following topics in detail: • Composites Manufacturing • Smart Manufacturing • Additive Manufacturing • Computer Aided Manufacturing • Polymers Manufacturing • Assembly Processes • Manufacturing Quality Control and Productivity • Subtractive Manufacturing • Deformative Manufacturing Introduction to Advanced Manufacturing offers a new, refreshing way of studying how things are made in the digital age. With academics and industry professionals in mind, Introduction to Advanced Manufacturing paves the ground for
Harik, Ramy, Wuest, Thorsten
Introduction to Advanced ManufacturingR-463-TEST-REC07/24/2019
Introduction to Advanced Manufacturing was written by two experienced and passionate engineers whose mission is to make the subject of advanced manufacturing easy to understand and a practical solution to everyday problems. Harik, Ph.D. and Wuest, Ph.D., professors who have taught the subject for decades, combined their expertise to develop both an applied manual and a theoretical reference that addresses many different needs. Introduction to Advanced Manufacturing covers the following topics in detail: • Composites Manufacturing • Smart Manufacturing • Additive Manufacturing • Computer Aided Manufacturing • Polymers Manufacturing • Assembly Processes • Manufacturing Quality Control and Productivity • Subtractive Manufacturing • Deformative Manufacturing Introduction to Advanced Manufacturing offers a new, refreshing way of studying how things are made in the digital age. With academics and industry professionals in mind, Introduction to Advanced Manufacturing paves the ground for
Harik, Ramy, Wuest, Thorsten
Vision Sensors in Factory AutomationTBMG-3457706/01/2019
There are a number of ways to extract data from a production line. In factory automation, sensors are used in work cells to gather data for inspection or to trigger other devices. These sensors fall into multiple categories – photoelectric, fiber optic, proximity, ultrasonic, and vision are the most common.
Key Factors to Consider When Designing a Smart FactoryTBMG-3463806/01/2019
In recent years, the emergence of Industry 4.0 has been steadily transforming the manufacturing sector into an ultra-high-tech industry. Innovative smart technologies such as robotics, artificial intelligence (AI), robotic process automation (RPA), the IoT, sensors, and machine vision are powerful tools that many companies are starting to integrate into both their manufacturing techniques and business practices.
The Future of Airplane Factory: Digitally Optimized Intelligent Airplane AssemblyR-46605/28/2019
The Future of Airplane Factory: Digitally Optimized Intelligent Airplane Factory defines the architecture, key building blocks, and roadmap for actualizing a future airplane factory (FAF) that is digitally optimized for intelligent airplane assembly. They fit and integrate with other FAF building blocks that aggregate to a Digitally Optimized Intelligent Airplane Factory (DOIAF). The word "intelligent" refers to the ability of a system to make right decisions and take right action in the highly dynamic and fluid environment of the modern airplane manufacturing space. The event-driven dynamics inherent in the complexity of this environment drive the need for expert knowledge which resides in intelligence systems incorporating the experience of experts. Expert knowledge need not be smart, brilliant, or possess genius as long as the outcomes are derived from right decisions resulting in right actions-applied rapidly to sustain an optimized factory enterprise. Complete factory enterprise
Bullen, George Nicholas
NASA Marshall Space Flight CenterTBMG-3439405/01/2019
Founded on July 1, 1960, Marshall Space Flight Center in Huntsville, AL is one of NASA’s largest field centers. Marshall engineers designed, built, tested, and helped launch the Saturn V rocket that carried Apollo astronauts to the Moon. Marshall developed new rocket engines and tanks for the fleet of space shuttles, built sections of the International Space Station (ISS), and now manages all the science work of the astronauts aboard the ISS from a 24/7 Payload Operations Integration Center. Marshall also manages NASA’s Michoud Assembly Facility in New Orleans — the agency’s premier site for the manufacture and assembly of large-scale space structures and systems.
Ford demos latest digital tools at flagship transmission plant19AUTP05_1305/01/2019
Ford recently provided media with a look at some of its latest digital manufacturing tools, opening up the floor at one of the world's largest transmission plants to showcase the quality- and productivity-driven initiative. The tour of Ford's Livonia Transmission Plant (LTP) was part of a Detroit-area Manufacturing in America conference hosted by Siemens. Though showcasing the latest tools in use today, Ford stressed that this was a journey that began in earnest over a decade ago-and is only just beginning to be leveraged. The digital systems Ford is employing permit a more efficient path between its computer-aided engineering (CAE), the creation of production/supply systems and the assembly process itself, improving quality by validating metrics in real time and gathering a swarm of data for analysis. Exceptional granularity in its component traceability provides a wealth of on-site data to improve quality, but leveraging such data in the cloud also can improve vehicle-specific
Seredynski, Paul
Digital Manufacturing Helps Medtech Firm's Goal to Improve Patient OutcomesTBMG-3426104/01/2019
As often happens in the medical industry, innovative ideas hatched in university research settings spawn innovative companies, which create innovative products. A case in point: HemoSonics. The Charlottesville, VA-based medical device company was started in 2005 by two professors and a post-doctoral research student at the University of Virginia School of Medicine's Bio-Medical Engineering program — Bill Walker, Mike Lawrence, and Francesco Viola, respectively. The trio identified a method for measuring the stiffness of blood clots by using ultrasound imaging technology and created a system built around that technology aimed to improve patient outcomes and reduce costs.
Demonstration of Transformable Manufacturing Systems through the Evolvable Assembly Systems Project2019-01-136303/19/2019
Evolvable Assembly Systems is a five year UK research council funded project into flexible and reconfigurable manufacturing systems. The principal goal of the research programme has been to define and validate the vision and support architecture, theoretical models, methods and algorithms for Evolvable Assembly Systems as a new platform for open, adaptable, context-aware and cost effective production. The project is now coming to a close; the concepts developed during the project have been implemented on a variety of demonstrators across a number of manufacturing domains including automotive and aerospace assembly. This paper will show the progression of demonstrators and applications as they increase in complexity, specifically focussing on the Future Automated Aerospace Assembly Phase 1 technology demonstrator (FA3D). The FA3D Phase 1 demonstrated automated assembly of aerospace products using precision robotic processes in conjunction with low-cost reconfigurable fixturing supported
Sanderson, David, Turner, Alison, Shires, Emma, Chaplin, Jack, Ratchev, Svetan
Axiomatic Design of a Reconfigurable Assembly System for Aircraft Fuselages2019-01-135903/19/2019
Modern aerospace industry develops assembly process lines for new aircraft which is produced on a single production line while shortening production times by new technologies. Production processes are developed with systems such as lightweight fixtures, reconfigurable tools, automated part positioning, automated scanning countersink control, automated riveting, robotic measurement etc. These systems provide the necessary flexibility for aircraft fuselage and wing assembly projects. Aerospace manufacturers invest in assembly lines in order to increase production rates and meet growing customer demands. Most of the investments are allocated to state-of-the-art robots for drilling and riveting, sealing, coating and painting applications, in addition to material handling, carbon fiber layup and different types of machining operations. In this study, an assembly system design methodology is developed by using axiomatic design principles in order to propose a solution to design complexity
Celek, Osman Emre, Yurdakul, Mustafa, Ic, Tansel
Smart Actuators Deliver on the Promise of Industry 4.0TBMG-3335712/01/2018
As Industry 4.0 initiatives bring more and more industrial axes of motion into the realm of automation, the need for cost-effective control across them grows as well. Advances in robotics, connectivity, cloud computing, artificial intelligence, data analysis, mobility, and numerous other areas are converging to push global industry to new plateaus of operational efficiency and creating roles for automated actuators in places previously thought impractical.
Improving Manufacturing Efficiencies through Industry 4.0 Technologies in Aerospace2018-01-192910/30/2018
1 In the age of 4th industrial revolution, operational and information technologies are increasingly getting converged to help organizations improve their topline through new innovative products and services, and improve bottom line by improving efficiencies. This transformation is driven by convergence of many advanced technologies such as advanced sensor and communication technologies, big data, advanced analytics, Artificial Intelligence (AI), robotics, additive manufacturing, virtual and augmented reality (VR/AR). Enterprises digitization journey continues to adopt advanced technologies through multi-pronged approach to achieve their near-term and long-term goals. This paper summarizes Industry 4.0 journey, its relevance and applications to aerospace. It also summarizes how Industry 4.0 concepts can be applied to a composite manufacturing shop floor of aerospace components, how effective convergence of IoT, analytics, machine learning, AI and AR/VR help in improving the overall
Veluri, Sastry, Kumar, Ravi, Vasudevan, Ramji, Gorur, Ravi Prakash, Nampuraja, Enose, Shankaraiah, Mahesh, Tanjore, Simha, Rao, Shama
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