Simultaneous Consideration of Process and Product Design Problems Using an Algebraic Approach

2009 ◽  
pp. 851-859
Author(s):  
Susilpa Bommareddy ◽  
Nishanth Chemmangattuvalappil ◽  
Charles Solvason ◽  
Mario Eden
Keyword(s):  
Product Design ◽  
Algebraic Approach ◽  
Design Problems

Overall Structure Control for Product Design Using Geometric Skeleton Based on Functional Decomposition

2013 ◽  
Author(s):  
LianShui Guo ◽  
Xuan Zhou ◽  
Lian Zhao ◽  
Qingming Liu
Keyword(s):  
Product Design ◽  
Conceptual Design ◽  
Design Problems ◽  
Skeleton Model ◽  
Structure Control ◽  
Engineering Design Problems ◽  
Wide Range ◽  
Multi Level ◽  
Design Knowledge Reuse ◽  
Rapid Modeling

Product conceptual design derives from the functional requirement initially, and the overall structure control for product design is one of the most difficult problems being addressed in CAD modeling. The objective of this investigation is to present a framework on rapid modeling using rules and mechanism library for mapping between functions and mechanism structures. In this paper, it is shown that the overall structure can be achieved largely by using multi-level parametric skeleton model. In order to drive the conceptual design into a more detailed design, the intelligent master model is presented to realize the parametric feature modeling and design knowledge reuse. The main contribution of this paper is that an integrated framework has been developed to design assembling tools of satellite by using a necessary auxiliary wizard. The case studies presented demonstrate the potential significance of this work for a wide range of engineering design problems.

Extensions to the Taguchi Method of Product Design

1991 ◽  
Author(s):  
Kevin N. Otto ◽  
Erik K. Antonsson
Keyword(s):  
Taguchi Method ◽  
Product Design ◽  
Design Space ◽  
Optimal Solution ◽  
Taguchi’S Method ◽  
Design Problems ◽  
Tuning Parameters ◽  
Factorial Method ◽  
Definition Of ◽  
Range Of Values

Abstract The Taguchi method of product design is an experimental approximation to minimizing the expected value of target variance for certain classes of problems. Taguchi’s method is extended to designs which involve variables each of which has a range of values all of which must be satisfied (necessity), and designs which involve variables each of which has a range of values any of which might be used (possibility). Tuning parameters, as a part of the design process, are also introduced into Taguchi’s method. The method is also extended to solve design problems with constraints, invoking the methods of constrained optimization. Finally, the Taguchi method uses a factorial method to search the design space, with a confined definition of an optimal solution. This is compared with other methods of searching the design space and their definition of an optimal solution.

Understand Complex Design Problems Using Systems Thinking

2011 ◽  
pp. 379-393 ◽  
Author(s):  
Tao Huang ◽  
Eric E. Anderson
Keyword(s):  
Product Design ◽  
Systems Theory ◽  
Design Research ◽  
Current System ◽  
Design Problems ◽  
Evolving Systems ◽  
Complex Design ◽  
Research Problems ◽  
Dynamics Models ◽  
New System

This chapter provides a brief overview of systems theory and suggests that product designers could use systems theory and systems dynamics models to improve our understanding of complex Product Design research problems, to anticipate how and where changes in these dynamically evolving systems might occur and how they might interact with the current system to produce a new system with new behaviors, and to identify leverage points within the system where potential policy or design process changes might be introduced to produce effective solutions to these problems with minimum policy resistance. By investigating the current and future trends of the application of systems theory in Product Design research, this chapter invites multidisciplinary discussions of these topics.

Development of a Product Development Lab Course: Application of Theoretical, FEA and Experimental Techniques

2008 ◽  
Author(s):  
M. Khandaker ◽  
S. Ekwaro-Osire
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Product Development ◽  
Product Design ◽  
Experimental Techniques ◽  
Element Analysis ◽  
Design Problems ◽  
Laboratory Courses ◽  
Senior Design ◽  
Hands On

Finite Element Analysis (FEA) and experimental techniques based laboratory courses are used in the mechanical engineering curriculum to equip students with numerical and experimental abilities to solve design problems. Review of mechanical engineering curricula in US universities found no definite structure for the numerical and experimental based laboratory courses to support the core courses. Also, the authors found that due to lack of knowledge about the application of finite element analysis and lack of collaboration of experimental laboratories in the universities and colleges, students are unable to apply theory, numerical tool and experiment, when it comes to complete product design. To be effective product development engineers, students have to know how to use these engineering tools effectively for various mechanical systems to design a product with perfection. This motivated the authors to develop, teach, and evaluate a laboratory course before the senior design project, where students will have hands on experience with product design. The application of theoretical, numerical and experimental techniques, and their interconnectedness, will also be addressed in this new course. The main three learning objectives of this course were: (1) the ability to apply physical and mathematical models to analyze or design the mechanical systems; (2) the ability to use numerical tools (e.g., FEA) and a fundamental understanding of the limitations of such tools; and (3) the ability to correlate the theoretical knowledge with FEA and experimental findings. Some of the issues observed from the previously taught FEA laboratory related course are: (1) students do not understand how to use FEA tools in practical design problems; (2) students are unable to relate the theory with numerical and experimental result; (3) students do not understand the importance of verification of numerical results; and (4) students with knowledge of a particular analysis background have problems setting up the product design requirements dealing with different analysis systems. To overcome these difficulties, the proposed course will select design problems related to heat, fluid, vibration, and fracture and examine the overall design process including preliminary design, material selection, manufacturing, analysis, and testing. Simulating the complexity of “real world” engineering will prepare students for their senior design projects. The main benefits of this course are: (1) application of theoretical, numerical, and experimental techniques to solve a design problem, and (2) hands on experience with design problems.

A Method of Cultural Creative Product Design Based on Reverse Engineering

2013 ◽  
Vol 365-366 ◽  
pp. 1247-1250
Author(s):  
Lan Yao ◽  
Chao Jiang ◽  
Sui Huai Yu
Keyword(s):  
Reverse Engineering ◽  
Product Design ◽  
Design Method ◽  
Practical Significance ◽  
Design Work ◽  
Design Problems ◽  
Cultural Elements ◽  
The Social ◽  
Practical Design ◽  
Important Design

With the improvement of the social civilization, culture connotations of design problems have become increasingly prominent. And the cultural elements must integrate into design work to get development. Since cultural and creative product design is the re-exhibition of culture, traditional culture spirit connotation and cultural nutrition should be grasped and absorbed. Reverse engineering is a very important design method which is widely used in product design. Based on reverse engineering, a rapid and high quality creative design method over cultural and creative product design is proposed. The practical design application proves that the proposed method is feasible, of practical significance and application value.

Optimization of Machine Product Designs From Deeper Level Characteristics Using Collaboration Theory Concepts

2009 ◽  
Author(s):  
Masataka Yoshimura ◽  
Shin Kikuchi
Keyword(s):  
Product Design ◽  
Optimized Design ◽  
Design Problems ◽  
Continuous Evolution ◽  
Collaborative Product Design ◽  
Design Solutions ◽  
Design Characteristics

Successfully optimization of product designs calls for the continuous evolution of optimized design solutions, which is best achieved by collaboration among a group of experts who understand the intricacies of the product’s characteristics. The achievement of successful collaborations depends on optimization methodologies that focus on design characteristics located at deeper levels of hierarchically decomposed design problems, and the construction of optimization scenarios that have an explicit goal of maximizing the expected profits that result from the collaboration. This paper proposes methodologies and procedures based on hierarchical optimizations that aim to effectively conduct collaborative product design optimizations. The proposed methodologies are applied to a machine product design, and their effectiveness is demonstrated.

scholarly journals An algebraic approach for simultaneous solution of process and molecular design problems

2010 ◽  
Vol 27 (3) ◽  
pp. 441-450 ◽  
Author(s):  
S. Bommareddy ◽  
N. G. Chemmangattuvalappil ◽  
C. C. Solvason ◽  
M. R. Eden
Keyword(s):  
Molecular Design ◽  
Algebraic Approach ◽  
Simultaneous Solution ◽  
Design Problems

Simultaneous solution of process and molecular design problems using an algebraic approach

2010 ◽  
Vol 34 (9) ◽  
pp. 1481-1486 ◽  
Author(s):  
Susilpa Bommareddy ◽  
Nishanth G. Chemmangattuvalappil ◽  
Charles C. Solvason ◽  
Mario R. Eden
Keyword(s):  
Molecular Design ◽  
Algebraic Approach ◽  
Simultaneous Solution ◽  
Design Problems

Hierarchical Arrangement of Characteristics in Product Design Optimization

2005 ◽  
Vol 128 (4) ◽  
pp. 701-709 ◽  
Author(s):  
Masataka Yoshimura ◽  
Masahiko Taniguchi ◽  
Kazuhiro Izui ◽  
Shinji Nishiwaki
Keyword(s):  
Design Optimization ◽  
Product Design ◽  
Optimization Problems ◽  
Optimization Method ◽  
Hierarchical Level ◽  
Specific Design ◽  
Design Problems ◽  
Hierarchical Arrangement ◽  
Optimum Solution ◽  
Insight Into

This paper proposes a machine product design optimization method based on the decomposition of performance characteristics, or alternatively, extraction of simpler characteristics, that is especially responsive to the detailed features or difficulties presented by specific design problems. The optimization problems examined here are expressed using hierarchical constructions of the decomposed and extracted characteristics and the optimizations are sequentially repeated, starting with groups of characteristics having conflicting characteristics at the lowest hierarchical level and proceeding to higher levels. The proposed method not only effectively provides optimum design solutions, but also facilitates deeper insight into the design optimization results, so that ideas for optimum solution breakthroughs are more easily obtained. An applied example is given to demonstrate the effectiveness of the proposed method.

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