scholarly journals A dependencies satisfaction tool to support the cost oriented configuration of industrial products in the conceptual design stage

2018 ◽  
Vol 15 (6) ◽  
pp. 819-830
Author(s):  
Margherita Peruzzini ◽  
Mauro Pistacchi ◽  
Andrea Savoretti ◽  
Marco Mandolini ◽  
Roberto Raffaeli
Keyword(s):  
Conceptual Design ◽  
Design Stage ◽  
Industrial Products ◽  
Conceptual Design Stage ◽  
The Cost

Application of Topology Optimization in Product Design and Manufacturing

2011 ◽  
Author(s):  
Ihab Ragai ◽  
Harry Tempelman ◽  
David Kirby
Keyword(s):  
Topology Optimization ◽  
Conceptual Design ◽  
Design Process ◽  
Development Time ◽  
Optimization Problems ◽  
Mathematical Formulation ◽  
Design Stage ◽  
Conceptual Design Stage ◽  
Structural Design Optimization ◽  
The Cost

This paper deals with the utilization of topology optimization in the design process. Topology optimization is considered the most challenging task in the structural design optimization problems because the general layout of the structure is not known; however, implementing it in the conceptual design stage has proven to reduce the cost and development time. In this paper, the design process is briefly discussed emphasizing the use of topology optimization in the conceptual design stage. Also, the mathematical formulation for topology optimization with material density contours is presented. Furthermore, two industrial case studies, related to off-road mining and construction trucks, are discussed where the use of topology optimization has proven to dramatically improve an existing design and significantly decrease the development time of a new design.

An Approach Toward Estimating Cost of a New System in the Conceptual Design Stage Using Knowledge-Base

2007 ◽  
Author(s):  
Shun Takai
Keyword(s):  
Knowledge Base ◽  
Conceptual Design ◽  
Cost Data ◽  
Design Stage ◽  
Historical Cost ◽  
Conceptual Design Stage ◽  
System Concept ◽  
The Cost ◽  
Final System ◽  
New System

To estimate profitability of a new system in the conceptual design stage, engineers need to estimate the cost of concept (the cost of the final system developed from each system concept). If engineers have abundant experiences developing similar systems, they can construct a knowledge-base consisting of historical cost data and use it to estimate the cost of concept. However, if the firm is entering a new market, engineers do not have historical cost data to accurately estimate the cost of concept. In this case, engineers need to benchmark similar systems in the marketplace and construct a knowledge-base with the benchmarked information. This paper proposes an approach toward developing a distribution (belief) about the cost of concept using a knowledge-base. The proposed approach retrieves a subset of information from the knowledge-base relevant to estimating the cost of concept, constructs a histogram about the cost of concept, and develops a distribution of the cost of concept. This paper demonstrates the proposed approach by using printers as an illustrative example.

A Web-Based Process/Material Advisory System

2000 ◽  
Author(s):  
Yusheng Chen ◽  
Satyandra K. Gupta ◽  
Shaw Feng
Keyword(s):  
Conceptual Design ◽  
Cost Effective ◽  
Design Stage ◽  
Material Combination ◽  
Web Based ◽  
Advisory System ◽  
Conceptual Design Stage ◽  
Design Requirements ◽  
Parameter Ranges ◽  
Process Material

Abstract This paper describes a web-based process/material advisory system that can be used during conceptual design. Given a set of design requirements for a part during conceptual design stage, our system produces process sequences that can meet the design requirements. Quite often during conceptual design stage, design requirements are not precisely defined. Therefore, we allow users to describe design requirements in terms of parameter ranges. Parameter ranges are used to capture uncertainties in design requirements. Our system accounts for uncertainties in design requirements in generating and evaluating process/material combinations. Our system uses a two step algorithm. During the first step, we generate a material/process option tree. This tree represents various process/material options that can be used to meet the given set of design requirements. During the second step, we evaluate various alternative process/material options using a depth first branch and bound algorithm to identify and recommend the least expensive process/material combination to the designer. Our system can be accessed on the World Wide Web using a standard browser. Our system allows designs to consider a wide variety of process/material options during the conceptual design stage and allows them to find the most cost-effective combination. By selecting the process/material combination during the early design stages, designers can ensure that the detailed design is compatible with all of the process constraints for the selected process.

scholarly journals Retrieval of Semantic-Based Inspirational Sources for Emotional Design

2018 ◽  
Vol 2018 ◽  
pp. 1-17
Author(s):  
Jian Du ◽  
Yan Li ◽  
Jinlong Ma ◽  
Yan Xiong ◽  
Wenqiang Li
Keyword(s):  
Conceptual Design ◽  
Creative Thinking ◽  
Activation Mechanism ◽  
Design Stage ◽  
Emotional Design ◽  
Semantic Richness ◽  
Retrieval Systems ◽  
Conceptual Design Stage ◽  
Semantic Techniques ◽  
Semantic Expansion

In the conceptual design stage, inspirational sources play an important role in designers’ creative thinking. This paper proposes a retrieval method for semantic-based inspirational sources, which helps designers obtain inspirational images in the conceptual design stage of emotional design. The core principle involves solving the designer’s own deficiencies in associations and limited knowledge, by bridging the “semantic gap” faced by designers when they use Kansei words for inspirational sources. This method can be divided into two aspects: (1) based on the semantic richness of Kansei words, the first part describes how a lexical ontology for Kansei words called KanseiNet is constructed and proposes a spreading activation mechanism based on KanseiNet to complete the semantic expansion of Kansei words; (2) the second part describes how, using existing semantic techniques, relevant design website resources are crawled and analyzed, images’ context descriptions and Kansei evaluations are extracted, and Kansei evaluation index of inspirational images is established. The KanseiNet for Chinese is first constructed, and the Sources of Inspiration Retrieval System for Emotional Design (SIRSED) is developed. An experiment comparing the existing image retrieval systems with SIRSED proved the latter to be a more comprehensive and accurate way for designers to access inspirational sources.

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