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Manufacturing Design, Production, Automation, and Integration Part 5

Tham khảo tài liệu 'manufacturing design, production, automation, and integration part 5', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 5 Computer-Aided Engineering Analysis and Prototyping Engineering design starts with identifying customer requirements and developing the most promising conceptual product architecture to satisfy the need at hand Chap. 2 . This stage is often followed with a finer decision making process on issues such as product modularity as well as initial parametric design of the product including its subassemblies and parts Chaps. 3 and 4 . The concluding phase of design is engineering analysis and prototyping facilitated through the use of computing software tools. Engineering students spend the majority of their time during their undergraduate education in preparation for carrying engineering analysis tasks for this phase of design for example ranging from mechanical stress analysis to heat transfer and fluid flow analyses in the mechanical engineering field. Students are taught many analytical tools for solving closed-form engineering analysis problems as well as numerical techniques for solving problems that lack closed-form solution models. They are however often reminded that the analysis of most engineering products requires approximate solutions and furthermore frequently need physical prototyping and testing under real operating conditions owing to our inability to model analytically all physical phenomena. The objective of engineering analysis and prototyping can therefore be noted as the optimization of the design at hand. The objective function of the optimization problem would be maximizing performance and or minimizing Copyright 2003 by Marcel Dekker Inc. All Rights Reserved. cost. The constraints would be those set by the customer and translated into engineering specifications and or by the manufacturing processes to be employed. These would normally be set as inequalities such as a minimum life expectancy or a maximum acceptable mechanical stress. The variables of the optimization problem are the geometric parameters of the product dimensions tolerances etc. as