Browse Topic: Rapid prototyping

Items (372)
In the proposed article, the authors will focus on two manufacturing method FUSED FILAMENT FABRICATION (FFF) and FUSED DEPOSITION MODELING (FDM) showing examples of application in aviation production and the resulting benefits.
Banaś, AleksanderBurczy, KamilWojtuszewski, RadosławGłodzik, MarcinGałaczyński, Tomasz
This document addresses the operational safety and human factors aspects of unauthorized laser illumination events in navigable airspace. The topics addressed include operational procedures, training, and protocols that flight crew members should follow in the event of a laser exposure. Of particular emphasis, this document outlines coping strategies for use during critical phases of flight. Although lasers are capable of causing retinal damage, most laser cockpit illuminations, to date, has been relatively low in irradiance causing primarily startle reactions, visual glare, flashblindness and afterimages. Permanent eye injuries from unauthorized laser exposures have been extremely rare. This document describes pilot operational procedures in response to the visual disruptions associated with low to moderate laser exposures that pilots are most likely to encounter during flight operations. With education and training, pilots can take actions that safeguard both their vision and the safety of their passengers.
G10-OL Operational Laser Committee
Over the years, technological innovation has allowed the medical equipment sector to become a mission-critical part of the healthcare industry, delivering such benefits as lower operating costs and improved patient outcomes. But competitive pressures are driving the need for device developers to provide a richer experience for users, incorporating broader capabilities and features and more options.
Engine-in-the-Loop Study of a Hierarchical Predictive Online Controller for Connected and Automated Heavy-Duty Vehicles2020-01-05924/14/2020
This paper presents a cohesive set of engine-in-the-loop (EIL) studies examining the use of hierarchical model-predictive control for fuel consumption minimization in a class-8 heavy-duty truck intended to be equipped with Level-1 connectivity/automation. This work is motivated by the potential of connected/automated vehicle technologies to reduce fuel consumption in both urban/suburban and highway scenarios. The authors begin by presenting a hierarchical model-predictive control scheme that optimizes multiple chassis and powertrain functionalities for fuel consumption. These functionalities include: vehicle routing, arrival/departure at signalized intersections, speed trajectory optimization, platooning, predictive optimal gear shifting, and engine demand torque shaping. The primary optimization goal is to minimize fuel consumption, but the hierarchical controller explicitly accounts for other key objectives/constraints, including operator comfort and safe inter-vehicle spacing. This work is experimentally experimentally validated via a sequence of EIL studies intended for evaluating the computational costs and fuel savings associated with these algorithms. These EIL studies involve the closed-loop validation of the proposed control strategies, both individually and combined. These studies show that this hierarchy of algorithms is capable of running online, with the round-trip communication delay inherent in EIL simulation being one of the key factors affecting the EIL results. Moreover, the EIL studies are encouraging, both in terms of the successful hierarchical integration of the underlying algorithms and also in the resulting fuel savings seen in the EIL tests. In particular, the EIL results suggest that an aggressive overall goal of reducing vehicle fuel consumption by 15-20% or more is potentially achievable, especially in urban/suburban scenarios.
Xu, ChuGroelke, BenAlvarez Tiburcio, MiguelEarnhardt, ChristianBorek, JohnPelletier, EvanBoyle, StephenHuynh, BrianWahba, MohamedGeyer, StephenGraham, ChristopherMagee, MarkPalmeter, KyleNaghnaeian, MohammadBrennan, SeanStockar, StephanieVermillion, ChristopherFathy, Hosam
Light-Weighting of Additive Manufactured Automotive Fixtures through Topology Optimization Techniques2019-28-254411/21/2019
Rapidly enhancing engineering techniques to manufacture components in quick turnaround time have gained importance in recent times. Manufacturing strategies like Additive Manufacturing (AM) are a key enabler for achieving them. Unlike traditional manufacturing techniques like injection molding, casting etc.; AM unites advanced materials, machines, and software which will be critical for the fourth industrial revolution known as Industry 4.0. Successful application of AM involves a specific combination and understanding of these three key elements. In this paper the AM approach used is Fused Deposition Modelling (FDM). Since material costs contribute to 60% of the overall FDM costs, it becomes a necessity to optimize the parts. This paper reports the case studies of 3D-printed Automotive Fixtures which utilize computational methods (CAE), topology optimization and FDM constrains (build directions) to manufacture the part. These methodologies were used to validate the current operating conditions, optimize the design, increase the stiffness of the original part and reduce the material costs. The newly optimized designs were verified successfully passing the Finite Element Analysis tests. The components have been printed and are validated for its intended operating conditions. By uniting materials, processes and the digital data (CAD) in initial design phase has proven to be highly beneficial in this case study.
Naik, AbhijithSujan, TDesai, SurajShanmugam, Saravanakumar
Investigations on Dimensional Analysis of Fused Filament Fabrication of Wax Filament by Taguchi Design2019-28-013310/11/2019
Experimental investigations were carried out on the machinable wax filament using the fused deposition modelling (FDM) rapid prototyping process. The printer used for conducting the experiments was Flash Forge guider 2. The filament material used for this study was machinable wax filament of 1.75 mm diameter. Experimental trials were carried out as per Taguchi L9 orthogonal array to determine the optimum process parameter combination. The dimensional analysis of test samples were carried out in terms of change in volume of samples which is result of combine effect of deviations in all the dimensions of test sample. Four factors each at three levels was used to obtain the optimum printing parameters for better dimensional accuracy and proper printing. The four important printing parameters were taken as factor and set to analyse the significant factor affecting on printing. The complexity in printing of wax filament is taken in to consideration during the experimental study. The main effect plot for S/N ratio was plotted and ANOVA was carried out to determine the significant factor that was affecting the dimensional accuracy of the printed test samples. The results shows that there is positive deviation in the dimension along the nozzle axis and dimensionally accurate and defect free printing is achieved with layer thickness of maximum layer resolution and vertical orientation. The defects are observed in the inclined orientation samples due to support structure and delamination is detected. The Minitab software was used to analyse the results obtained from experiment. The printing parameters, which are varied for the experiment, are orientation, layer thickness, printing speed and travel speed.
Yadav, Aditya ChandrakantNavin Kumar, NattuduraiRaja, KumarNaiju, Chooriyaparambil Damodaran
Design and Validation of Low-Cost Intensity Probe2019-01-14626/5/2019
Sound intensity measurement techniques that used a two-microphone configuration, were first developed in the late 1970s. Originally, the focus was on improving precision during testing or post-processing. However, with the advent of modern, sophisticated equipment, the focus has shifted to the apparatus. Availability of phase-matched microphones has made post-test correction obsolete as the microphones eliminate a majority of the errors before the data is even collected. This accuracy, however, comes at a cost, as phase-matched microphones are highly priced. This paper discusses employing the method of improving post-processing precision, using inexpensive, current equipment. The phase error of the system is corrected using a simple calibration technique and a handheld phase calibrator that is similar to the one used for amplitude calibration of microphones. The intensity probe and calibrator is manufactured using rapid prototyping and the executable software that goes with the probe is designed in NI LabVIEW. The entire setup uses inexpensive parts to lower the cost and modern software to compensate for the errors due to these parts. The design of the probe and the accompanying software will be discussed in the paper. Additionally, the accuracy of the probe will be compared to a commercially available sound intensity probe and the results will be discussed.
Gundre, KaranBarnard, Andrew
Additive manufacturing (AM) is a novel process of fabricating components in a layer-by-layer method under the control of computer-aided design (CAD) information, rather than by the traditional use of casting molds and forming dies. By allowing for net-shape fabrication of highly complex geometries without molds or machining, this process offers the potential to reduce material usage, energy consumption, component cost, and fabrication time. While AM presents the unique opportunity to manufacture single components quickly, it also provides for the potential to examine the effects of individual design alterations on overall system performance. QuesTek has utilized its proven Integrated Computational Materials Engineering (ICME) methodology to adapt Ferrium® C64® steel for additive manufacturing, where the market availability of AM gear steels is very limited. QuesTek has demonstrated success in AM-processing of C64 using a laser-based powder bed technique, from procurement of powder through final test part fabrication. This production route is demonstrating the ability to fabricate a near-net shaped part at a reduced cost and significantly reduced lead time relative to conventional manufacturing routes, making it especially useful for rapid prototyping of new components.
Kozmel, ThomasFetty, JasonKantner, ChrisNez, BrittanyGrabowski, JeffSebastian, Jason
Investigating Collaborative Robot Gripper Configurations for Simple Fabric Pick and Place Tasks2019-01-06994/2/2019
Fiber composite materials are widely used in many industrial applications - specially in automotive, aviation and consumer goods. Introducing light-weighting material solutions to reduce vehicle mass is driving innovative materials research activities as polymer composites offer high specific stiffness and strength compared to contemporary engineering materials. However, there are issues related to high production volume, automation strategies and handling methods. The state of the art for the production of these light-weight flexible textile or composite fiber products is setting up multi-stage manual operations for hand layups. Material handling of flexible textile/fiber components is a process bottleneck. Consequently, the long term research goal is to develop semi-automated pick and place processes for flexible materials utilizing collaborative robots within the process. Collaborative robots allow for interactive human-machine tasks to be conducted. The immediate research is to assess standard and modified grippers for basic material pick and place tasks via sets of experimental tasks. Pick and place experiments with flat carbon fiber fabric and two gripper configurations are tested with a YuMi 14000 ABB collaborative robot to determine the gripper characteristics and performance on the pickup, thread damage, material wrinkling, and slippage for two gripping forces, and two travel speeds. It is shown that using a silicone sleeve reduces the observed damage, material slippage, and wrinkling for most conditions.
Alebooyeh, MortezaWang, BowenUrbanic, Ruth JillDjuric, AnaKalami, Hamed
Design of a Hybrid Honeycomb Unit Cell with Enhanced In-Plane Mechanical Properties2019-01-07104/2/2019
Sandwich structures with honeycomb core are widely used in the lightweight design and impact energy absorption applications in automotive, sporting, and aerospace industries. Recently, the auxetic honeycombs with negative Poisson's ratio attract substantial attention for different engineering products. In this study, we implement Additive Manufacturing technology, experimental testing, and Finite Element Analysis (FEA) to design and investigate the mechanical behavior of a novel unit cell for sandwich structure core. The new core model contains the conventional and auxetic honeycomb cells beside each other to create a Hybrid Honeycomb (HHC) for the sandwich structure. The different designs of unit cells with the same volume fraction of 15% are 3D-printed using Fused Deposition Modeling technique, and the comparative study on the mechanical behavior of conventional honeycomb, auxetic honeycomb, and HHC structures is conducted. The quasi-static uniaxial compression tests are performed on the printed samples to investigate the mechanical behavior of the printed structures. The deformation and failure modes of the different designs are studied at the cell level utilizing FEA of the compression test and experimental observation. The compressive strength of the different design is measured using three experimental tests. The new HHC unit cell design shows significantly higher mechanical properties than the auxetic and the conventional designs. Modifying the design variables of hybrid cellular core structure allows us to tailor the mechanical properties and deformation pattern in macro level to achieve the desired mechanical properties in sandwich structures.
Raeisi, SajjadTapkir, PrasadAnsari, FarhaTovar, Andres
Additive Manufacturing Experimental Infill Testing and Optimization for Automotive Lightweighting2019-01-12754/2/2019
Lightweighting of vehicles in the automotive industry is one of the most prevalent trends currently underway; influenced by government regulation and consumer demand. The reduction in vehicle mass of the next generation automobile offers increased dynamic performance, reduced fuel consumption, and potential component cost reduction. Development in composite materials, numerical methods, part consolidation, and advanced high strength metals represent a selection of the strategies being utilized for lightweighting. Additive manufacturing (AM) is a family of rapidly developing technology that is seeing use in the automotive industry both in the development and production stages. Fused deposition modelling (FDM) printed parts offer designers increased freedom, at a reduced weight, in comparison to conventionally fabricated parts as internal sections that are hollow, sparsely filled, or composed of a lattice structure can be realized instead of the traditional solid infill matrix. This paper investigates the gap in available knowledge on FDM printing infill designs, examining macro material properties for design considerations as a function of both mass and print time. Experimental data of prevalent infill patterns and structural correlation to contour layer effect are shown. An optimal configuration for both the minimization of mass and minimization of print time are presented, providing tangible structural data to designers that can be utilized in both structural and semi-structural applications. A set of examples is presented showcasing the applicability of FDM printed designs in an automotive production application and in an automotive product development application. Results indicate that the adoption of optimal infill patterns for FDM printed components will create new lightweighting applications in the automotive industry.
Schmitt, MattMehta, Raj MattiasKim, Il Yong
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