INDUSTRIAL DRIVES SYSTEMS
(BMFA 3123) |
Learning Outcomes At the end of this course, students should be able to: [1] Explain the principles and constructions and application of components and systems in pneumatic, hydraulic, electrical and mechanical drive systems. [2] Analyze and evaluate mathematical models of drive systems including operational parameters such as pressure, speed, torque, energy and power. [3] Design and construct pneumatic, hydraulic, electro pneumatic/hydraulic circuits and related mechanical power train. Synopsis Topics include electro-mechanical, pneumatic, and hydraulic drive components and systems with emphasis on selection, application, and proper installation techniques. The fundamental knowledge and theory of major components in fluids power and technologies, namely hydraulics and pneumatics, as well as electro motors, servo and stepper motors in robotics are covered. This includes the different types of actuators of linear and rotary configurations. Machine safety, torque, power, efficiency, bearings and couplings are also addressed. Characteristics of mechanical power train such as belt drives, chain, drives and gear drives are included as well. Moreover, basic concept of electric drives systems, with emphasis on system analysis and application is also discussed in this subject. Topics including dc machine control, variable frequency operation of induction and synchronous machines, unbalance operation, adjustable speed drives, adjustable torque drives, coupled circuit modelling of ac machines. Installation, alignment, and maintenance of various drive systems are performed utilizing industrial equipment. References [1] K. T. Chau, Zheng Wang, 2011, Chaos in Electric Drive Sys-tems Analysis Control & Application, 1stEd., Wiley. [2] Esposito, A., 2009, Fluid Power with Applications, 7th Edition, Prentice Hall. [3] Rabie, M. G., 2009, Fluid Power Engineering, McGraw-Hill. [4] Lynwander, P., 1983, Gear Drive Systems, Dekker Mechanical Engineering.
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MATERIALS CHARACTERIZATION
(BMFB 3723) |
Learning Outcomes At the end of this course, students should be able to: [1] Summarize the fundamental of materials characterization including the theory, working principle and application. [2] Characterize materials structure and chemical element through interpretation and analysis of characterization output. [3] Display good communication skill on matters related to materials characterization in a written report and presentation. Synopsis This course focusses on material characterization techniques, including theoretical aspect, working principle and application. Analytical techniques include microstructural analyses (Optical Microscope, Scanning Electron Microscopy, Transmission Electron Microscopy, Scanning Probe Microscopy), phase analyses (X-Ray Diffractometer Analysis and X-Ray Fluorescence), thermal analyses (Thermal gravimetry, Differential Thermal Analysis and Differential Scanning Calorimetry) and spectroscopy analysis (X-ray Spectroscopy and Vibrational spectroscopy). References [1] Leng, Y., 2008, Materials Characterization Introduction to Microscopic and Spectroscopic Methods), John Wiley & Sons,. [2] Brandon, D. and Wayne. D. K., 2008, Microstructural Characterization of Materials, John Wiley & Sons. [3] B.D. Cullity, S.R. Stock, 2001, Elements of X-Ray Diffraction, 3rd Ed. Prentice Hall.
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PRODUCTION OPTIMIZATION
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Learning Outcomes At the end of this course, students should be able to: [1] Formulate production planning problem in mathematical modeling. [2] Apply linear programming, transportation, assignment and queueing techniques to solve complex production planning. [3] Analyze alternative solutions for decision-making process in the manufacturing industry. [4] Evaluate decisions through sensitivity analysis and apply what if scenarios as a tool for alternative solutions. Synopsis Optimization in production is a common problem as industry needs to make the most effective use of an organization’s resources. Resources in organization such as machinery, money, energy, labor force are elements to make products. These resources are limited; managers need to deal with these limitations. Linear programming is one of the techniques discussed, is widely used, based mathematical technique to help manager plan and make decisions necessary to allocate resources. This course covers principles and practices, tools and techniques, fundamentals of optimization problem in manufacturing engineering. It discusses mathematical formulation of production or operational problems and solve them using linear programming and other optimization techniques. This course consists of two parts; Part I - Linear programming technique: Part II: Transportation models, assignment models and Queueing technique. References [1] Hamdy, A.Taha., 2011, Operation Research : An Introduction, 9th Edition. [2] Hillier, F. & Lieberman, G. J., 2010, Introduction to Operation Research. 9th ed. McGraw-Hill. [3] Ignizio J.P., 2007, Linear Programming in Single & Multiple Objective Systems, Prentice Hall.
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INDUSTRIAL DESIGN
(BMFR 3423) |
Learning Outcomes At the end of this course, students should be able to: [1] Explain the principles and functions of industrial design in manufacturing engineering. [2] Determine the consumer's requirements of industrial design from the aspect of manufacturing design. [3] Apply the principles of ergonomics in product design. [4] Analyze the new product design using appropriate tools of the industrial design. Synopsis This course develops student's competence and self-confidence as manufacturing engineers or designers. Industrial design engineering is drawn from manufacturing engineering problems solving. The aims of this course are to expose students with aesthetic, appearances, anthropometry, ergonomics and selection of material. Student will be involved in design and analysis of the product, prototyping and presentation. References [1] Hassan, A., dan Ahmad Rizal, A. R., 2008, Rekabentuk Perindustrian - Pengenalan, Dewan Bahasa dan Pustaka, Kuala Lumpur. [2] Cacciabue, P. C., 2004, Guide to Applying Human Factors Methods : Human Error and Accident Management in Safety-Critical Systems, Springer. [3] Jim, L., 1999, Industrial Design - Materials and Manufacturing Guide, John Wiley Sons, New York.
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SURFACE ENGINEERING IN MANUFACTURING (BMFS 3523)
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Learning Outcomes At the end of this course, students should be able to: [1] Describe the necessary surface treatment of the substrate prior to coating process. [2] Distinguish the available coating techniques and coating materials. [3] Match the various coating techniques and materials with a particular application. Synopsis This is an introductory course on the synthesis and application of surface treatment and coatings. The course covers the necessary surface preparation technique prior to coating, the techniques to synthesis the coating, the various coating materials and the function of coating in various applications. References [1] Kalpakjian S. and Schmid S, 2006, Manufacturing Engineering and Technology, Singapore, Pearson. [2] Mattox M. D., PVD Handbook. [3] Schweitzer, Philip A., 2006, Paint and coatings: applications and corrosion resistance - CRC Press Taylor & Francis Group. |