New Technology in Computer Aided Design, Computer Aided Manufacturing, Computer Aided Engineering Analytic Methodology, Automated and High Speed Mechanical System

Dr. Jeremy (Zheng) Li*
Associate Professor, School of Engineering, University of Bridgeport, USA.
Periodicity:September - November'2017
DOI : https://doi.org/10.26634/jcom.5.3.14016

Abstract

Computer aided Design (CAD), 3-D modeling and engineering analysis can be efficiently applied in many research and industrial fields including aerospace, defense, automobile, consumer product, and many other product development. These efficient research and engineering tools apply computer-assisted technology to perform 3-D modeling on different products, support geometrical design, make structural analysis, assist optimal product design, create graphic and engineering drawings, and generate production documents. This technology helps scientists and technical professionals efficiently import basic geometrical inputs and design information to accelerate the engineering design process, with well controlled design documents, to support production and manufacturing processes. Currently these research and engineering tools have been playing more and more important roles in different business and enterprises due to its financial and technical importance in business, industrial, engineering, and manufacturing applications. The computer aided modeling and analysis allow more sophisticated, flexible, reliable, and cost-effective manufacturing control. Automation and automated production system are to use control system to reduce human labor intervention during manufacturing processes and put strong impact on industries. Automation and automated system design not only raise the production rate but also control the product quality. It can effectively keep consistent product quality, reduce production lead time, ease material handling, maintain optimal work flow, and meet the product requirement by controlling the flexible and convertible manufacturing / production processes. Computer aided modeling and engineering design can quickly simulate and model the automated production systems and reduce product development life cycles. Computer aided engineering solution can improve and optimize the industrial integral processes in design, development, engineering analysis, and product manufacturing. Also the present and future economic globalization requires cost-effective manufacturing via highly industrial automation, efficient design tooling, and better production control. This keynote lecture describes the technology, types, and general applications of these research and engineering tools through conceptual analysis and real case study in computer aided design, 3-D modeling, and engineering analysis. Some new product systems, developed by author, are introduced to help readers understand how to design and develop new product systems by using computer aided design, engineering analysis, and prototype experiment. The case studies include design and development of green / sustainable energy systems (solar still, solar panel, and wind power energy), biomedical and surgical instruments, energy-saving cooling system, automated and high speed assembly system (highly viscous liquid filling and chemical gas charging), robotic system for industrial / automated manufacturing, magnetic sealing system, and high speed packaging machinery system. Multiple engineering case studies in this keynote lecture aim at the introduction, study and analysis by using computer aided modeling and engineering analysis for industrial and engineering applications. All these newly developed product systems have also been verified by prototyping and testing to validate the functionality of these new systems. Both computer aided analysis and experimental methodologies introduced in this keynote lecture show close results that positively show the feasibility and credibility of analytic and experimental methodologies introduced in this keynote lecture.

Keywords

Computer Aided Design (CAD), Computer Aided Engineering Analysis (CAE), Computer Aided Manufacturing (CAM), Geometric Dimensioning and Tolerancing (GD&T), Wind Power Turbine

How to Cite this Article?

Jeremy (Zheng) Li (2017). New Technology in Computer Aided Design, Computer Aided Manufacturing, Computer Aided Engineering Analytic Methodology, Automated and High Speed Mechanical System. i-manager’s Journal on Computer Science, 5(3), 6-53. https://doi.org/10.26634/jcom.5.3.14016

References

[1]. Adán, A., Salamanca, S., & Merchán, P. (2012). A hybrid human–computer approach for recovering incomplete cultural heritage pieces. Computers & Graphics, 36(1), 1-15 .
[2]. Ahmed, B., Ul Alam, A., Abdullah-Al-Mamun, M., Chowdhury, M. E. H., & Mursalin, T. E. (2011). Analysis of visual cortex event-related fMRI data using ICA decomposition. International Journal of Biomedical Engineering and Technology, 7(4), 365-376 .
[3]. Bang, S. W., Kim, J., & Lee, J. H. (2013). An approach of genetic programming for music emotion classification. International Journal of Control, Automation and Systems, 11(6), 1290-1299 .
[4]. Baniardalani, S., & Askari, J. (2013). Fault diagnosis of timed discrete event systems using Dioid Algebra. International Journal of Control, Automation and Systems, 11(6), 1095-1105 .
[5]. Bay, H., Ess, A., Tuytelaars, T. & VanGool, L. (2008). Speeded-UP Ro bust Features (SURF). Journal of Computer Vision and Image Understanding, 110, 346- 359 .
[6]. Carey, V. P. (2010). Assessment of tesla turbine performance for small scale rankine combined heat and power systems. Journal of Engineering for Gas Turbines and Power, 132(12), 122301 .
[7]. Chandrasegaran, S. K., Ramani, K., Sriram, R. D., Horváth, I., Bernard, A., Harik, R. F., & Gao, W. (2013). The evolution, challenges, and future of knowledge representation in product design systems. Computeraided design, 45(2), 204-228 .
[8]. Darling, S. B., You, F., Veselka, T., & Velosa, A. (2011). Assumptions and the levelized cost of energy for photovoltaics. Energy & Environmental Science, 4(9), 3133-3139 .
[9]. Devanathan, S., & Ramani, K. (2010). Creating polytope representations of design spaces for visual exploration using consistency techniques. Journal of Mechanical Design, 132(8), 081011 .
[10]. Feil-Seifer, D., Skinner, K., & Matarić, M. J. (2007). Benchmarks for evaluating socially assistive robotics. Interaction Studies, 8(3), 423-439 .
[11]. Ferrey, S. (2006). Renewable orphans: Adopting legal renewable standards at the state level. The Electricity Journal, 19(2), 52-61 .
[12]. Gerkey, B. P., & Matarić, M. J. (2004). A formal analysis and taxonomy of task allocation in multi-robot systems. The International Journal of Robotics Research, 23(9), 939-954 .
[13]. Gevorkian, P. (2007). Solar Power in Building Design (Green Source): The Engineer's Complete Project Resource. McGraw-Hill Professional .
[14]. Gheisari, R., Jafarian, A., & Ansari, M. R. (2012). Analytical investigation of compressible oscillating flow in a porous media: A Second-order successive approximation technique. International Journal of Refrigeration, 35(6), 1789-1799 .
[15]. Hammond, E., Quarini, J., & Foster, A. (2011). Development of a stability model for a vertical single band recirculated air curtain sealing a refrigerated cavity. International Journal of Refrigeration, 34(6), 1455-1461 .
[16]. Janghel, R. R., Shukla, A., & Tiwari, R. (2012). Hybrid computing based intelligent system for breast cancer diagnosis. International Journal of Biomedical Engineering and Technology, 10(1), 1-18 .
[17]. Kalantzaki, K., Bei, K., Garofalakis, M. and Zervakis, M. (2013). Biological interaction networks based on nonparametric estimation. Journal of Biomedical Engineering and Technology, 13(4), 383-409 .
[18]. Khalifa, A. J. N., & Hamood, A. M. (2009). Performance correlations for basin type solar stills. Desalination, 249(1), 24-28 .
[19]. Khan, M., Zaheeruddin, & Singh, A. K. (2013). Solar cell based DC-DC boost converter for implantable cardiac pacemaker: A computer simulation. International Journal of Biomedical Engineering and Technology, 12(3), 215-227 .
[20]. Lattemann, S., & Höpner, T. (2008). Environmental impact and impact assessment of seawater desalination. Desalination, 220(1-3), 1-15 .
[21]. Li, J. (2012). Computer aided modeling and prototyping of a new industrial solar tracking system. i-manager's Journal on Future Engineering and Technology, 8(2), 33-37 .
[22]. Li, J. (2012). Computer-Aided Modeling and Analysis of an Energy-Saving Refrigerating System. Journal of Mechanical Engineering and Automation, 2(1), 9-12 .
[23]. Li, J. (2013). Numerical simulation and prototype testing of gas turbine with hot spinning process, Scientific Journal of Pure and Applied Sciences, 2(4), 204-211 .
[24]. Li, J. (2015). CAD, 3D Modeling, Engineering Analysis, and Prototype Experimentation. Springer International Publishing: Imprint: Springer .
[25]. Manikandan, V., Shanmugasundaram, K., Shanmugan, S., Janarthanan, B., & Chandrasekaran, J. (2013). Wick type solar stills: A review. Renewable and Sustainable Energy Reviews, 20, 322-335 .
[26]. Matam, B., Duncan, H., & Lowe, D. (2013). Automated prediction of deterioration of infants in paediatric intensive care using SpO . Journal of 2 Biomedical Engineering and Technology,13(4), 341-356 .
[27]. Mehta, K. C., & Coulbourne, W. L. (2013). Wind Loads: Guide to the Wind Load Provisions of ASCE, 7-10. American Society of Civil Engineers .
[28]. Ogbonnaya, E. A. (2011). Gas turbine performance optimization using compressor online water washing technique. Engineering, 3(5), 500-507 .
[29]. Ogbonnaya, E. A., Ugwu, H. U., & Johnson, C. A. N. (2010). Computer-aided solution to the vibrational effect of instabilities in gas turbine compressors. Engineering, 2(8), 658.-664 .
[30]. Park, W. I., Kim, D. J., & Lee, H. J. (2013). Terrain trafficability analysis for autonomous navigation: A GIS- based approach. International Journal of Control, Automation and Systems, 11(2), 354-361 .
[31]. Passon, P., Kühn, M., Butterfield, S., Jonkman, J., Camp, T., & Larsen, T. J. (2007). OC3—benchmark exercise of aero elastic offshore wind turbine codes. In Journal of Physics: Conference Series (Vol. 75, No. 1, p. 012071). IOP Publishing .
[32]. Song, J. B. (2013). Collision detection algorithm robust to model uncertainty. International Journal of Control, Automation and Systems, 11(4), 776-781.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 15 15 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.