Design for Environmentability

Author(s):  
D. Navinchandra

Abstract There is a growing interest in making products environmentally more compatible. While there is a need to make products and processes less toxic, to increase recyclability, and to reduce waste; we have to try to achieve environmental friendliness without compromising product quality. This approach to design has come to be called Green Engineering Design. The aim is to identify, develop, and exploit new technologies that can bolster productivity without costing the environment. The idea is to inject concerns about environmental friendliness into the design process; where, the assessment of environmental friendliness is based on a life-cycle view of the product. This includes the product’s manufacturing process, distribution, use, and final disposal. Our approach to green engineering design has two pans: (1) the development of special green indicators — measures of environmental compatibility, and (2) tools that use the green indicators to help designers assess, compare, and make design decisions.

Author(s):  
LeRoy E. Taylor ◽  
Mark R. Henderson

Abstract This paper describes the roles of features and abstraction mechanisms in the mechanical design process, mechanical designs, and product models of mechanical designs. It also describes the relationship between functions and features in mechanical design. It is our experience that many research efforts exist in the areas of design and product modeling and, further, that these efforts must be cataloged and compared. To this end, this paper culminates with the presentation of a multi-dimensional abstraction space which provides a unique framework for (a) comparing mechanical engineering design research efforts, (b) relating conceptual objects used in the life cycle of mechanical products, and (c) defining a product modeling space.


2010 ◽  
Vol 34-35 ◽  
pp. 988-994 ◽  
Author(s):  
Sui Ran Yu ◽  
Rui Bin Zhang

This paper presents a life cycle assessment (LCA) method in different design process. This method can help product designers to make more environmental friendly design decisions in the design process. In this method, product’s LCA model is established in product conceptual design phase with the aid of decision matrix. Thereafter, the model is improved in the latter design phases, especially in product detail design phases. In this process, with the help of LCA software, designers can evaluate different design options and get LCA results when necessary to guide the design process. Finally, a case study of designing a coffee pot is provided in this paper to illustrate the efficiency and effectiveness of this method. The case study shows that the method performs very well in the design process. It can be used to help designers to make more environmental friendly design decisions.


Author(s):  
Brad Crowell ◽  
Peter Gregson

Axiomatic Design helps a designer to make good design decisions. However, this addresses only one part of design. Prior to selecting a proposed design, the designer must synthesize options for further consideration. Within engineering design, creativity and expertise have been left to the competency of the designer and called the “art of engineering design”. To achieve a truly creative design process that addresses both analysis and synthesis, methods based on theories from Cognitive Psychology must be included. The resulting Creative Axiomatic Design process addresses both synthesis and analysis, enhancing creativity and expertise to inspire innovation and alternative perspectives on the design problem.


Author(s):  
Li Zhao ◽  
Yan Jin

Abstract Collaborative engineering involves multiple engineers and managers working together to develop engineering products. As the engineering problems become more and more complicated, new technologies are required to achieve better effectiveness and efficiency. While process models management and technologies have been developed to support engineering design, most of them apply only to routine design tasks and do not explicitly deal with the change of processes during execution. Our research proposes a process-driven framework to support collaborative engineering. The framework is composed of a process model that captures both high level and low level activity dependencies, an agent network that monitors process execution and facilitates coordination among engineers, and a Petri-net based modeling tool to represent and analyze process features and predict the performance of engineering processes. In this paper, we first describe a simple collaborative design problem and our proposed ActivePROCESS collaborative engineering framework. After that we present our Petri-net based analytical model of collaborative design process and discuss the model along with a case example.


2018 ◽  
Vol 7 (4.36) ◽  
pp. 854
Author(s):  
K. Palani Raj ◽  
G. Veeramani

Marketing based decision making process in engineering design is an important study required for industries. How to take efficient decision in design that influence marketing? Most of the engineering design decisions are based on consumer behaviour. Decision making in risk and uncertainty in engineering design is an important phenomenon. Cost and time are the two important factors that results loss because of inefficient decision and it affects marketing. Problems involved in marketing based engineering design and decision making process in solving problems is elaborately studied in this journal. How to choose a design in various alternatives, design process, manufacturing feasibility, material and methodology are the important factors that influences decision making in engineering design for marketing. Different types of theories in decision making process that helps in taking proper decision were studied in this journal. This study is based on data taken from various Research & Development centre in Industries. 


1993 ◽  
Vol 115 (1) ◽  
pp. 14-19 ◽  
Author(s):  
K. N. Otto ◽  
E. K. Antonsson

In the design and manufacture of mechanical devices, there are parameters whose values are determined by the manufacturing process in response to errors introduced in the devices’s manufacture or operating environment. Such parameters are termed tuning parameters, and are distinct from design parameters which the designer selects values for as a part of the design process. This paper introduces tuning parameters into the design methods of: optimization, Taguchi’s method, and the method of imprecision (Wood and Antonsson, 1989). The details of the mathematical formulation, along with a design example, are presented and discussed. Including tuning parameters in the design process can result in designs that are more tolerant of variational noise.


Author(s):  
Naz Yaldız ◽  
Mark Bailey

AbstractAlthough the conceptual design is a fundamental process through which design decisions are made, its focus is on finding the right solution. Is finding the right solution enough for a good design? Defining the problem or applying a solution-focused process may not be enough to create the differences that must be present in today's variable conditions. This can be overcome through seeking meaning instead of seeking a solution. The purpose of this article is to develop an approach that focuses on seeking meaning for products by starting with a design-thinking approach to the conceptual design process in engineering design. Focusing on a search for meaning in engineering design will provide advantages, such as creating unique values and sustainable competition.


2006 ◽  
Vol 05 (02) ◽  
pp. 167-177
Author(s):  
SHUXIN GU

Tolerance design is one of the key activities in the product creation process. It not only directly effects product quality but also has significant impact on manufacturing process and product cost. The tolerance design should never be overlooked in the product creation process. Though the importance of the tolerance design is well understood in the engineering community, a well established process for the tolerance design in the product creation process is still lacking. The practice of the tolerance design in most automotive industries is not consistent, and it largely depends on individual experience. Best practice and valuable knowledge is not captured in a systematic manner, and most often the new design does not benefit from best-in-class design knowledge. Most engineers can only go back to the very previous design for reference due to the lack of knowledge base tools. Therefore, optimal tolerance design could be missed. In addition, most tolerance design at earlier product lifecycle only concentrates on product functionality itself. Some serious manufacturing issues could be overlooked at the beginning and are only uncovered until it is too late. In addition to the delay of the product launch, the cost of fixing these manufacturing problems is often very expensive. Moreover, lack of a tool or process to look at system level tolerance interactions causes designers to miss optimal tolerance for each individual part design. In this paper, a tolerance design process is proposed in order to optimize product tolerance for function, manufacturing cost, and quality. This process will capture the knowledge of product tolerance design and optimize this knowledge to re-apply to every new product design. Also, with the help of feature-based design and knowledge-based technology, manufacturing process, cost, product quality, etc. could be considered at the earliest stage of the design cycle. Therefore, the quality and cost of design will be better understood and controlled compared to an ad hoc tolerance design process.


Author(s):  
W. P. Neumann ◽  
J. Winkel

A case study in Volvo Powertrain is conducted to examine the distribution of responsibility for human factors in the companies’ engineering design process. Design decisions with human factors impact, and hence system performance implications, are identified in the design of both the product and the production system in a chain of decisions, spread across multiple stakeholder groups. Thus the organisational structure of the engineering design process appears to influence the ability to handle human factors appropriately at each stage of design. Responsibility (although perhaps not accountability) appears to be distributed throughout the engineering design process. Thus human factors aspects require careful coordination throughout engineering design.


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