scholarly journals Data-driven product design toward intelligent manufacturing: A review

2020 ◽  
Vol 17 (2) ◽  
pp. 172988142091125 ◽  
Author(s):  
Yixiong Feng ◽  
Yuliang Zhao ◽  
Hao Zheng ◽  
Zhiwu Li ◽  
Jianrong Tan
Keyword(s):  
Product Design ◽  
Conceptual Design ◽  
Data Driven ◽  
Design Stage ◽  
Design Knowledge ◽  
Requirement Analysis ◽  
Customer Requirement ◽  
Detailed Design ◽  
Support Tools ◽  
Knowledge Support

With the arrival of the big data era, a lot of valuable data have been generated in the entire product life cycle. The gathered product data contain a lot of design knowledge, which brings new opportunities to enhance the production efficiency and product competitiveness. Data-driven product design is an effective and popular design method, which can provide sufficient support for designers to make smart decisions. This article focuses on a comprehensive review of the existing research in data-driven product design. Based on the product design process, this article summarizes the data-driven design methods into the following aspects: customer requirement analysis, conceptual design, detailed design, and design knowledge support tools. In the customer requirement analysis stage, through data mining and transformation methods, customer requirements are predicted and then mapped to obtain accurate requirement expressions for aiding designers to explore the design space. In the conceptual design stage, the intelligent algorithms and data warehouse technologies are discussed in detail for function reasoning and scheme decision-making to achieve the iterative mapping from customer space to solution space. In the detailed design stage, data modeling languages and methods are introduced to support the simulation verification of the design process. For the design knowledge support tools, the methods of extracting knowledge from product data are discussed in detail, and the realization of computer-aided conceptual design is assisted through the development of knowledge-oriented design tools. Finally, this article summarizes the key points of data-driven product design research and provides an outlook for future research directions.

scholarly journals Metrics for Measuring Sustainable Product Design Concepts

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3469
Author(s):  
Ji Han ◽  
Pingfei Jiang ◽  
Peter R. N. Childs
Keyword(s):  
Product Design ◽  
End Of Life ◽  
Environmental Impacts ◽  
Conceptual Design ◽  
Design Stage ◽  
Sustainable Product Design ◽  
Early Design ◽  
Design Concepts ◽  
Concept Evaluation ◽  
Sustainable Product

Although products can contribute to ecosystems positively, they can cause negative environmental impacts throughout their life cycles, from obtaining raw material, production, and use, to end of life. It is reported that most negative environmental impacts are decided at early design phases, which suggests that the determination of product sustainability should be considered as early as possible, such as during the conceptual design stage, when it is still possible to modify the design concept. However, most of the existing concept evaluation methods or tools are focused on assessing the feasibility or creativity of the concepts generated, lacking the measurements of sustainability of concepts. The paper explores key factors related to sustainable design with regard to environmental impacts, and describes a set of objective measures of sustainable product design concept evaluation, namely, material, production, use, and end of life. The rationales of the four metrics are discussed, with corresponding measurements. A case study is conducted to demonstrate the use and effectiveness of the metrics for evaluating product design concepts. The paper is the first study to explore the measurement of product design sustainability focusing on the conceptual design stage. It can be used as a guideline to measure the level of sustainability of product design concepts to support designers in developing sustainable products. Most significantly, it urges the considerations of sustainability design aspects at early design phases, and also provides a new research direction in concept evaluation regarding sustainability.

An Innovative Channel Design of the Freezing Chucker

2006 ◽  
Author(s):  
Rong-Yuan Jou
Keyword(s):  
Conceptual Design ◽  
Design Process ◽  
Design Stage ◽  
Plate Surface ◽  
Channel Design ◽  
Typical Structure ◽  
Design Work ◽  
Detailed Design ◽  
Embodiment Design ◽  
Final Design

A freezing chucker is a clamp-less mechanism of fixture for easy broken egg-shell, clay, and other ferrous/nonferrous materials. Typical structure of this mechanism includes a top plate for freezing workpieces, a body with specially designed channels for the coolant flows, and a bottom plate to fasten on the table of other machine. Just by a small amount of liquids on the top surface and by rapidly cool down to 253K, parts can be frozen stationary on the top plate surface and can conduct precision machining on it. There are four steps to design a new freeze chucker by the engineering design process: planning and clarifying the task; conceptual design; embodiment design; detailed design. Some useful tools from the Quality Function Deployment (QFD) technique and the Theory of Inventive Problem Solving (TRIZ) method are used in this design process. Eight concept designs are generated by the conceptual design work and the final design of channel with transverse ribs is selected by decision matrix technique during embodiment design and detailed design stage. This final design is evaluated by numerical modeling of the COMSOL MULTIPHYSICS 3.2 finite-element based package. Performances such as the temperature distribution of top-plate surface temperature and the lowest temperature of a freezing chucker are shown. Numerical results show the success of the innovative channel design by this inventive design process using TRIZ methodology.

Kinematic Simulation Using Qualitative Mechanism Models

1995 ◽  
Author(s):  
Jihong Liu ◽  
Masanori Igoshi ◽  
Eiji Arai
Keyword(s):  
Conceptual Design ◽  
Spatial Relation ◽  
Spatial Relations ◽  
Quantitative Information ◽  
Design Stage ◽  
Kinematic Simulation ◽  
Conceptual Design Stage ◽  
Support Tools ◽  
Mechanical Products ◽  
Structural Descriptions

Abstract When trying to use computers to aid designers at the conceptual design stage, it becomes clear that many traditional methods and support tools are incompetent because they mainly deal with sufficient and quantitative information. However, at the conceptual design stage, information is insufficient and mostly qualitative. The focus of this paper is on representing and reasoning about the geometry and motion of physical objects for mechanical conceptual design. A new concept, called qualitative spatial relation space (QSRS), is introduced to describe mechanisms of mechanical products by referring to the qualitative spatial relations between their components. A qualitative kinematic simulation system has been implemented to enable verification of functions of products at the conceptual design stage. The system derives motions of components caused by other components’ specified motions from the qualitative structural descriptions of products, and puts brief and comprehensible functional interpretations of products.

Implications of Modularity on Product Design for the Life Cycle

1998 ◽  
Vol 120 (3) ◽  
pp. 483-490 ◽  
Author(s):  
P. J. Newcomb ◽  
B. Bras ◽  
D. W. Rosen
Keyword(s):  
Life Cycle ◽  
Product Design ◽  
Design Stage ◽  
Configuration Design ◽  
Large Role ◽  
Detailed Design ◽  
Normal Product ◽  
Center Console ◽  
Two Measures ◽  
Configuration Information

Growing concern for the environment has spurred interest in product Design for the Life Cycle (DFLC) which encompasses all aspects of a product’s life cycle from initial conceptual design, through normal product use, to the eventual disposal of the product. A product’s architecture, determined during the configuration design stage, plays a large role in determining its life cycle characteristics. In this paper, modularity of product architectures with respect to life cycle concerns, not just functionality and structure, is defined and applied in the analysis of architecture characteristics. An architecture decomposition algorithm from the literature is adopted for partitioning architectures into modules from each life cycle viewpoint. Two measures of modularity are proposed: one that measures module correspondence between several viewpoints, and another that measures coupling between modules. The algorithm and measures are applied to the analysis and redesign of an automotive center console. Results of applying the algorithm and measures accurately reflected our intuitive understanding of the original center console design and predicted the results of our redesign. Furthermore, these measures incorporate only configuration information of the product, hence, can be used before detailed design stages.

Reliability-Based Topology Optimization Considering Multicriteria Using Frame Elements

2005 ◽  
Author(s):  
Katsuya Mogami ◽  
Kazuhiro Izui ◽  
Shinji Nishiwaki ◽  
Masataka Yoshimura ◽  
Nozomu Kogiso
Keyword(s):  
Decision Making ◽  
Topology Optimization ◽  
Conceptual Design ◽  
Environmental Changes ◽  
Mechanical Design ◽  
Optimization Method ◽  
Design Stage ◽  
Design Decision ◽  
Discrete Elements ◽  
Detailed Design

Since decision-making at the conceptual design stage critically affects final design solutions at the detailed design stage, conceptual design support techniques are practically mandatory if the most efficient realization of optimal designs is desired. Topology optimization methods using discrete elements such as frame elements enable a useful understanding of the underlying mechanics principles of products, however the possibility of changing prior assumptions concerning utilization environments exists since the detailed design process starts after the completion of conceptual design decision-making. In order to avoid product performance reductions due to such later-stage environmental changes, this paper discusses a reliability-based topology optimization method that can secure specified design goals even in the face of environmental factor uncertainty. This method can optimize mechanical structures with respect to two principal characteristics, namely structural stiffness and eigen-frequency. Several examples are provided to illustrate the utility of the method presented here for mechanical design engineers.

Formalizing Flow Relationships in Data Archival and Reuse for Product Design

2011 ◽  
Author(s):  
Matt R. Bohm ◽  
Robert L. Nagel
Keyword(s):  
Product Design ◽  
Conceptual Design ◽  
Black Box ◽  
Design Knowledge ◽  
Knowledge Reuse ◽  
Functional Modeling ◽  
Carrier Flow ◽  
The Relationship ◽  
Design Scenario

This paper explores the relationship between primary and carrier flows for design knowledge archival and reuse. Often, it is noted that flows (especially when modeling materials and signals) through an engineered system are accompanied by supporting flows (often energies). These accompanying flows (termed carrier flows), while being important to the overall (or black box) functionality of the system, are often of lesser interest during functional modeling activities related to conceptual design. However, when modeling a system for archival and reuse, not capturing these flows could hinder some of the more creative leaps where flows once used as a carrier flow in a system are now identified as viable primary flows. When systems are modeled utilizing primary/carrier flow designations, it may be easier to search and locate analogous systems. From a knowledge reuse standpoint, the physical solutions to carrier flows in one system may also be the physical solutions to primary flows in another design scenario. To assist with modeling, known primary/carrier flow combinations are presented in this paper. Modeling, archival, and reuse are presented, and the potential to identify creative leaps is explored.

Going Back in Time to Improve Design: The Elemental Function-Failure Design Method

2003 ◽  
Author(s):  
Michael E. Stock ◽  
Robert B. Stone ◽  
Irem Y. Tumer
Keyword(s):  
Failure Analysis ◽  
Knowledge Base ◽  
Product Design ◽  
Conceptual Design ◽  
Failure Modes ◽  
Design Method ◽  
Design Stage ◽  
Improve Design ◽  
Design Cycle ◽  
Potential Improvement

In today’s world it is more important than ever to quickly and accurately satisfy customer needs when launching a new product. It is equally important to design products that adequately accomplish their desired functions with a minimum amount of failures. When failure analysis and prevention are coupled with a product design from its conception, shorter design times and fewer redesigns are necessary to arrive at a final product design. In this article, we explore the potential of a novel design methodology to guide designers toward new designs or redesigns that avoid failures. The Elemental Function-Failure Design Method (EFDM) is based on functional similarity of the product being designed to failed products within a knowledge base. The idea of using component functionality to explore the failure space in design was first introduced as a function-failure analysis approach by Tumer and Stone (2003). The overall approach offers potential improvement over current failure analysis methods (FMEA, etc.), because it can be implemented hand in hand with other conceptual design steps and carried throughout a product’s design cycle. In this paper, this idea is formalized into a systematic methodology that is specifically tailored for use at the conceptual design stage before any physical design choices have been made, hence moving failure analysis earlier in the design cycle. In the following, formalized guidelines for using the EFDM will be outlined for use in new designs and for redesign in existing products. A function-failure knowledge base, derived from actual failure occurrences for Bell 206 rotorcraft will be introduced and used to derive potential failure modes in a comparison of the EFDM and traditional FMEA for two design examples. This comparison will demonstrate the EFDM’s potential in conceptual design failure analysis.

Integration of Supply Chain Decisions at the Conceptual Design Stage: A Repository Enabled Decision Tool

2009 ◽  
Author(s):  
Ming-Chuan Chiu ◽  
Saraj Gupta ◽  
Gu¨l E. Okudan
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Product Design ◽  
Conceptual Design ◽  
Design Stage ◽  
Functional Requirements ◽  
Chain Management ◽  
Managerial Efficiency ◽  
Bicycle Industry ◽  
Conceptual Design Phase

A supply chain connects product suppliers, manufacturers, as well as customers with the goal of managerial efficiency. Meanwhile, product design emphasizes the engineering efficiency of a product. Both supply chain management and product design have been drawing attention from numerous researchers. However, there has been only limited research on the integration of product design and supply chain. Despite this fact, there is significant potential for synergy in the integration of engineering and supply chain management, as well as managerial concepts into product design. In the paper, we present a methodology to form this synergistic connection. The methodology presented first generates functional requirements of a product. A design repository is then utilized to synthesize potential components of all sub-functions, providing multiple options for the potential conceptual designs. These concepts are screened by using a Design for Assembly (DfA) index and then a Design for Supply Chain (DfSC) index to select the best concept. An example from the bicycle industry is presented to demonstrate the benefit of supply chain considerations at the conceptual design phase.

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