Advances in Product Design Engineering (Management and Industrial Engineering)

✍ Scribed by Panagiotis Kyratsis (editor), Nikolaos Efkolidis (editor), J. Paulo Davim (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 237
• Edition: 1st ed. 2022
• Category: Library

✦ Synopsis

This book focus on the product design process. It follows a holistic approach covering conceptual design, design methodologies, sustainability, manufacturing, product analysis, materials, design and manufacturing technologies. The reader can find interesting cases about industrial design, 3D printing and 4D printing for wearables. The axiomatic design methodology is presented together with applications in machine learning and knowledge-based systems. Research about personalized fashion and professional uniform evaluations methods are included. Finally, the digital transformation, aesthetic design and the use of materials in orthopedic design is present.

✦ Table of Contents

Preface
Contents
About the Editors
Industrial Design: Shaped by Technology and Users. Past, Present, AM, and the Future
1 The Past
2 Additive Manufacturing
3 The Present
3.1 Custom Sunglasses
3.2 The AICE Approach
3.3 The AICE Method
4 The Future
5 Summing Up
References
Using the Axiomatic Design in Engineering
1 Introduction
2 AD Approach: Axioms, Structure, and Process
3 Using the First Axiom of Axiomatic Design
4 The AD Second Axiom
5 Comparison with Other Design Methods
5.1 Context of Comparison with Other Design Methods
5.2 Comparison AD and Taguchi Method
5.3 Comparisons Axiomatic Design and TRIZ
5.4 Comparisons Axiomatic Design and QFD
5.5 Discussion
6 AD Application
References
4D Printing on Textiles: Developing a File to Fabrication Framework for Self-Forming, Composite Wearables
1 Introduction
2 Background and Literature
3 Development of Materials and Methods
4 Verification Through Design Experiments
4.1 Experiment 1
4.2 Experiment 2
4.3 Experiment 3
4.4 Experiment 4
4.5 Experiment 5
4.6 Experiment 6
4.7 Experiment 7
4.8 Experiment 8
5 Findings
6 Conclusions
References
Personalized Fashion On-Demand and e-Fashion Business Models: A User Survey in Greece
1 Introduction
2 Literature Review
2.1 Mass Customization
2.2 Technologies for Mass Personalization and On-Demand Manufacturing
2.3 The Greek Textile and Apparel Industry
2.4 Current Situation
2.5 Personalization and On-Demand Case Studies
3 Methods
3.1 Questionnaire Design and Development
3.2 Participants
3.3 Data Analysis
4 Results
4.1 Testing Hypothesis A
4.2 Testing Further Hypotheses
5 Discussion
6 Conclusions
7 Limitations and Future Work
References
Machine Learning to Classify and Predict Design and Fabrication Solutions of Architectural Prototypes Driven by Sustainable Criteria
1 Introduction
2 Relevant works
2.1 Managing large datasets in computational design and fabrication
2.2 Machine Learning (ML)
2.3 Machine Learning (ML) in architectural design
3 Methodology
3.1 Topology Optimization analysis
3.2 Design Solutions (DS) development
3.3 Post-processing analysis of DS
3.4 Machine Learning (ML) implementation
4 Results and discussion
4.1 Classification and prediction of Design Solutions (DS)
4.2 New Design Solutions (NDS) performance prediction and validation
5 Conclusions
References
Evaluation of the Station Uniform for Firefighters by Anthropometric Method on the Basis of the Physico-mechanical Properties of the Material
1 Introduction
1.1 Static Anthropometry
1.2 Dynamic Anthropometry
1.3 Methodology for Anthropometric Measurements
2 Ergonomics of the Work Environment
2.1 Occupational Health and Safety in Specialised Services
2.2 The Role of Ergonomic Movements in Ensuring Safety at Work
3 Development of an Anthropometric Method for Firefighters’ Uniforms
3.1 Research Methodology and Sample
3.2 Characteristics of the Firefighters’ Station Uniforms
3.3 Anthropometric Method for the Firefighters’ Station Uniforms
4 Anthropometric Assessment and Analysis of Station Uniforms
5 Determination of the Physico-mechanical Properties of T-Shirt Materials
6 Assessment and Analysis of Ergonomic Anthropometry of the T-Shirt
7 Conclusions
References
Development of Modified Polymethyl Methacrylate and Hydroxyapatite (PMMA/HA) Biomaterial Composite for Orthopaedic Products
1 Introduction
1.1 History and Development of Acrylic Bone Cement
1.2 Composition of PMMA Bone Cement
1.3 Application of PMMA Bone Cement
2 Additives Used in PMMA Bone Cement
3 Hydroxyapatite-PMMA Bone Cement Nanocomposite
4 Materials and Processes
5 Crystal Structure Analysis
5.1 Fourier Transform Infrared Spectroscopy
5.2 X-Ray Diffraction
6 Mechanical Strength Analysis
6.1 Compression Strength Analysis
6.2 Flexural Strength Analysis
7 Morphology Analysis
7.1 Scanning Electron Microscopy Analysis
8 Conclusions
References
Conceptual Design for Innovation: Process and a Knowledge-Based Approach
1 Introduction and Definition
2 Product Conceptual Design Process
2.1 Main Features
2.2 The Multi-Stage Mapping Processes of Product Design
3 The Process Model of Innovative Conceptual Design
4 Knowledge Reasoning Method for Innovative Conceptual Design
4.1 Knowledge Organization and Mapping Process
4.2 Knowledge Matching Algorithm
5 Knowledge System for Innovative Conceptual Design
5.1 Overall System Architecture
5.2 Function Model of Knowledge System
6 Conclusion
References
Establishing Product Appearance Specifications with the Identification of User Aesthetic Needs in Product Conceptual Design
1 Essential of Identifying the Aesthetic Need in Product Conceptual Design
2 Background and Related Works
2.1 Aesthetic Information in Conceptual Design
2.2 Understanding User Aesthetic Needs Through Aesthetic Experience
3 Overall Framework
4 Case Study on Improving Appearance Specifications Based on Aesthetic Experiences
4.1 Acquiring Initial Appearance Specifications and User Aesthetic Preferences
4.2 Constructing the Fuzzy Model
4.3 Establishing Improved Appearance Specifications
5 Conclusions
References
Digital Transformation of the Product Design and Idea Generation Process
1 Research, Idea Generation, and Concept Design in the Product Design Process
2 Transformation of the Market Research Methodologies by Digital Technology
3 Artificial Intelligence in the Concept Design and Idea Generation
4 Design Process Supported by the Virtual and Augmented Reality Technologies
5 Conclusions
References
Index