A Multi-User Computer-Aided Design Competition: Experimental Findings and Analysis of Team-Member Dynamics

Author(s):  
Brett Stone ◽  
John Salmon ◽  
Keenan Eves ◽  
Matthew Killian ◽  
Landon Wright ◽  
...  

A competition for teams of three students using a prototype multi-user computer-aided design (MUCAD) tool was held to investigate various hypotheses regarding the performance of teams in such a setting. By comparing models from the competition to the same model in a single-user CAD environment, it is seen that use of a MUCAD system can significantly increase the value-added per unit of calendar time for a modeling effort. An investigation was also made into the causes of the performance differences among the various MUCAD teams which participated in the competition. Analysis of the results shows that teams that encouraged effective forms of communication and teams whose members scored similarly on the Purdue Spatial Visualization Test: Visualization of Rotations (PSVT:R) performed better than other teams. Areas of future research in analyzing teams in MUCAD environments are suggested.

2021 ◽  
Author(s):  
Kathy Cheng ◽  
Alison Olechowski

Abstract Previous efforts in the area of collaborative computer-aided design (CAD) suggest that a team of designers working synchronously in a multi-user CAD (MUCAD) environment can produce CAD models faster than a single user. Our research is the among the first to investigate assemblies in MUCAD. Due to the lack of hierarchical feature dependency in assemblies, we propose that CAD teams can optimize assembly through modularization and parallel execution. In our study, 20 participants were tasked with assembling pre-modelled CAD parts of varying complexity in teams of one, two, three or four. We analyze audio recordings, team activity, and survey responses to compare the performance of individuals and virtual collaborative teams during assembly, while working with the same MUCAD platform. This paper features a multimodal approach to analyze team trends in communication, workflow, task allocation and challenges to determine which factors are conducive to the success of a multi-user CAD team and which are detrimental. In our work, the success of a team is measured by its productivity score, which is the number of mates added by a team within a given time frame. We present evidence that teams can complete an assembly in less calendar time than a single user, but single users are more efficient based on person-hours, due to communications and coordination overheads. Surprisingly, paired contributors exhibit an assembly bonus effect. These findings represent a preliminary understanding of collaborative CAD assembly work. Our work supports the claim that collaborative assembly activities have the potential to improve the capabilities of modern product design teams, delivering products faster and at lower cost. We identify areas for future research, and highlight areas of improvement for collaborative CAD platforms and engineering design teams.


2005 ◽  
Vol 5 (3) ◽  
pp. 188-197 ◽  
Author(s):  
J. Corney ◽  
C. Hayes ◽  
V. Sundararajan ◽  
P. Wright

The vision of fully automated manufacturing processes was conceived when computers were first used to control industrial equipment. But realizing this goal has not been easy; the difficulties of generating manufacturing information directly from computer aided design (CAD) data continued to challenge researchers for over 25 years. Although the extraction of coordinate geometry has always been straightforward, identifying the semantic structures (i.e., features) needed for reasoning about a component’s function and manufacturability has proved much more difficult. Consequently the programming of computer controlled manufacturing processes such as milling, cutting, turning and even the various lamination systems (e.g., SLA, SLS) has remained largely computer aided rather than entirely automated. This paper summarizes generic difficulties inherent in the development of feature based CAD/CAM (computer aided manufacturing) interfaces and presents two alternative perspectives on developments in manufacturing integration research that have occurred over the last 25 years. The first perspective presents developments in terms of technology drivers including progress in computational algorithms, enhanced design environments and faster computers. The second perspective describes challenges that arise in specific manufacturing applications including multiaxis machining, laminates, and sheet metal parts. The paper concludes by identifying possible directions for future research in this area.


From time to time the Royal Society organizes meetings for the discussion of some new development in engineering and applied science. It seemed possible to the organizers of this meeting that it would be profitable to bring together workers in industry and in the universities to discuss some aspect of computer-aided design. As you will see we have chosen the application of computer aids to mechanical engineering design and manufacture. This restriction to mechanical engineering was deliberate, partly because the application of computer aids to mechanical engineering design is somewhat behind similar activities in electrical and civil engineering. Another reason is that the development of such applications has reached a particularly interesting stage, and it is now perhaps appropriate to review progress and to discuss the directions in which future research should proceed. Although some examples of computer-aided design in mechanical engineering can be found from the earliest days of computing, the development really started in the late fifties with early experiments in the use of graphic displays and with the introduction of multi-access computing. Some may date the beginning of the developments which we are going to discuss today, from the work at M. I. T. on automated programmed drawing started in 1958. This has led to a concentration of effort on graphics and computer-aided drafting. Much research has been done on the mathematical description of curves, surfaces and volumes in a form suitable for engineering design. Work has been done on the automatic dimensioning of drawings, hidden line removal, the prob­lems of lofting, etc.


Author(s):  
Kenway Chen ◽  
Dirk Schaefer

The domain of Electrical Computer-Aided Design and Engineering (ECAD/ECAE) has been subject to major and rapid change over the past couple of years. Electrical Engineering Computer-Aided Design (CAD) tools developed in the early to mid-1990s no longer meet future requirements. Consequently, a new generation of Electrical Engineering CAD systems has been under development for about a decade now. An overview of advances in this field is presented in the introductory part of this paper. This overview also sets the context and provides background information for the main topic, MCAD-ECAD-integration, to be addressed in the remainder of this paper. Many complex engineered systems encompass mechanical as well as electrical engineering components. Unfortunately, contemporary CAE environments do not provide a sufficient degree of integration in order to allow for multi-disciplinary product modeling and bi-directional information flow (i.e. automated design modifications on either side) between mechanical and electrical CAD domains. Overcoming this barrier of systems integration would release a tremendous efficiency potential with regard to the efficient development of multidisciplinary product platforms and configurations. An overview of the state-of-the-art in MCAD-ECAD integration is presented. In addition, associated research questions are postulated and potential future research perspectives discussed.


2014 ◽  
Vol 568-570 ◽  
pp. 1569-1572
Author(s):  
Jun Liu

This paper focuses on the use of computer-aided design system design decorative material library, study the specific programs to improve system efficiency and simplify the user's operation, focusing on the part of the interface design. Finally, we summed up the prospects and applications decorative art computer-aided design systems, and analysis of the current shortcomings and future research directions of the program.


Author(s):  
Derek Yip-Hoi ◽  
Jianming Li ◽  
Liang Zhou ◽  
Wencai Wang ◽  
Madhumati Ramesh ◽  
...  

Machined powertrain components are a subset of machined parts that introduce unique and difficult problems to product design, process planning and manufacturing system design for the automotive industry. They are complex, high value-added components that must be produced at large volumes to stringent quality standards. Accordingly product development cycles are typically long. Integrated computer-aided approaches are thus desirable for reducing this time and helping manufacturing engineers design the best process and specify the optimal manufacturing system configuration. This paper presents a framework for integrating Computer-Aided Design (CAD), Computer-Aided Process Planning (CAPP) and Computer-Aided Manufacturing Systems Engineering (CAE-MS) for producing machined powertrain components. It describes the key components of this framework and in some cases details of the methods and technologies adopted for their realization. This solution is based upon a feature-centric philosophy. This stands in contrast to the product-variant approach that has been common practice in this industry.


2021 ◽  
Vol 54 (5) ◽  
pp. 1-29
Author(s):  
Xing Huang ◽  
Tsung-Yi Ho ◽  
Wenzhong Guo ◽  
Bing Li ◽  
Krishnendu Chakrabarty ◽  
...  

As one of the most promising lab-on-a-chip systems, flow-based microfluidic biochips are being increasingly used for automatically executing various laboratory procedures in biology and biochemistry, such as enzyme-linked immunosorbent assay, point-of-care diagnosis, and so on. As manufacturing technology advances, the characteristic dimensions of biochip systems keep shrinking, and tens of thousands of microvalves can now be integrated into a coin-sized microfluidic platform, making the conventional manual-based chip design no longer applicable. Accordingly, computer-aided design (CAD) of microfluidics has attracted considerable research interest in the EDA community over the past decade. This review article presents recent advances in the design automation of biochips, involving CAD techniques for architectural synthesis, wash optimization, testing, fault diagnosis, and fault-tolerant design. With the help of these CAD tools, chip designers can be released from the burden of complex, large-scale design tasks. Meanwhile, new chip architectures can be explored automatically to open new doors to meet requirements from future large-scale biological experiments and medical diagnosis. We discuss key trends and directions for future research that are related to enable microfluidics to reach its full potential, thus further advancing the development and progression of the microfluidics industry.


Micromachines ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 302
Author(s):  
Sindhu Vijayan ◽  
Pravien Parthiban ◽  
Michinao Hashimoto

PolyJet™ 3D printers have been widely used for the fabrication of microfluidic molds to replicate castable resins due to the ease to create microstructures with smooth surfaces. However, the microstructures fabricated by PolyJet printers do not accurately match with those defined by the computer-aided design (CAD) drawing. While the reflow and spreading of the resin before photopolymerization are known to increase the lateral dimension (width) of the printed structures, the influence of resin spreading on the vertical dimension (height) has not been fully investigated. In this work, we characterized the deviations in both lateral and vertical dimensions of the microstructures printed by PolyJet printers. The width of the printed structures was always larger than the designed width due to the spreading of resin. Importantly, the microstructures designed with narrow widths failed to reproduce the intended heights of the structures. Our study revealed that there existed a threshold width (wd′) required to achieve the designed height, and the layer thickness (a parameter set by the printer) influenced the threshold width. The thresholds width to achieve the designed height was found to be 300, 300, and 500 μm for the print layer thicknesses of 16, 28, and 36 μm, respectively. We further developed two general mathematical models for the regions above and below this threshold width. Our models represented the experimental data with an accuracy of more than 96% for the two different regions. We validated our models against the experimental data and the maximum deviation was found to be <4.5%. Our experimental findings and model framework should be useful for the design and fabrication of microstructures using PolyJet printers, which can be replicated to form microfluidic devices.


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