scholarly journals Assessing the design of a rapid product design cycle activity that develops student understanding of engineering design and professional practice

2020 ◽  
Author(s):  
Patricia Sheridan ◽  
Robert Irish ◽  
Jason Foster
Keyword(s):  
Product Design ◽  
Engineering Design ◽  
Professional Practice ◽  
Student Understanding ◽  
Design Cycle

MODELING AN ABBREVIATED PRODUCT DESIGN CYCLE IN A FIRST-YEAR ENGINEERING DESIGN COURSE

2012 ◽  
Author(s):  
Patricia Kristine Sheridan ◽  
Jason A Foster ◽  
Geoffrey S Frost
Keyword(s):  
Product Design ◽  
Engineering Design ◽  
Conceptual Design ◽  
Design Project ◽  
University Of Toronto ◽  
Praxis Ii ◽  
Engineering Communication ◽  
Detail Design ◽  
Praxis I ◽  
Design Experience

All Engineering Science students at the University of Toronto take the cornerstone Praxis Sequence of engineering design courses. In the first course in the sequence, Praxis I, students practice three types of engineering design across three distinct design projects. Previously the final design project had the students first frame and then develop conceptual design solutions for a self-identified challenge. While this project succeeded in providing an appropriate foundational design experience, it failed to fully prepare students for the more complex design experience in Praxis II. The project also failed to ingrain the need for clear and concise engineering communication, and the students’ lack of understanding of detail design inhibited their ability to make practical and realistic design decisions. A revised Product Design project in Praxis I was designed with the primary aims of: (a) pushing students beyond the conceptual design phase of the design process, and (b) simulating a real-world work environment by: (i) increasing the interdependence between student teams and (ii) increasing the students’ perceived value of engineering communication.

scholarly journals PRODUCT CIRCULARITY INDICATORS: WHAT CONTRIBUTIONS IN DESIGNING FOR A CIRCULAR ECONOMY?

2020 ◽  
Vol 1 ◽  
pp. 2129-2138
Author(s):  
M. Saidani ◽  
H. Kim ◽  
F. Cluzel ◽  
Y. Leroy ◽  
B. Yannou
Keyword(s):  
Product Design ◽  
Engineering Design ◽  
Circular Economy ◽  
Development Process ◽  
Industrial Product ◽  
Design Tools ◽  
Design And Development ◽  
Micro Level ◽  
Do So

AbstractThis paper investigates and questions the relevance of product-centric circularity indicators in a product design context. To do so, reviews of eco-design tools and critical analyses of circularity indicators at the micro level of circular economy implementation are combined with a new workshop experimenting four of these indicators with the aim to improve the circularity performance of an industrial product. On this basis, the four tool-based circularity indicators tested are mapped on the engineering design and development process, and are positioned among the pool of main eco-design tools.

scholarly journals Computational intelligence in product design engineering: review and trends

2021 ◽  
Author(s):  
Filippo A. Salustri
Keyword(s):  
Decision Making ◽  
Product Design ◽  
Engineering Design ◽  
Computational Intelligence ◽  
Design Automation ◽  
State Of The Art ◽  
Design Engineering ◽  
Broad Perspective ◽  
Research Issues ◽  
Product Engineering

Product design engineering is undergoing a transformation from informal and largely experience-based discipline to a science-based domain. Computational intelligence offers models and algorithms that can contribute greatly to design formalization and automation. This paper surveys computational intelligence concepts and approaches applicable to product design engineering. Taxonomy of the surveyed literature is presented according to the generally recognized areas in both product design engineering and computational intelligence. Some research issues that arise from the broad perspective presented in the paper have been signaled but not fully pursued. No survey of such a broad field can be complete, however, the material presented in the paper is a summary of state-of-the-art computational intelligence concepts and approaches in product design engineering. Keywords: Computational intelligence, engineering design, product engineering, decision making, design automation

Design for Manufacturability

1995 ◽  
Author(s):  
Mohammed A. Azam ◽  
William P. Holmes
Keyword(s):  
Product Design ◽  
Engineering Design ◽  
Design Process ◽  
Integrated Design ◽  
Concept Development ◽  
Concept Design ◽  
Process Selection ◽  
Cad System ◽  
Product Design Process ◽  
Industrial Designers

Abstract Research has been carried out at Coventry University Centre for Integrated Design on the concept design process and it is funded by the Coventry University Research Fund. An experiment, simulating product design in industry, was conducted by concept designers which were, in turn, acted by student industrial designers and student engineering designers. In general the product design process is a sequential process. The first part of the process is the conceptual phase. This is followed by the engineering design phases which include all the manufacturing information. In this case the downstream engineering design focuses on designs for manufacture and process selection. Information on the requirements of conceptual designers in these areas was collected from these experiments. The information is ultimately to be incorporated into rules in a knowledge base which can be readily accessed by the industrial designer during concept development via a CAD system.

An Integrated Intelligent System Model and Its Applications in Virtual Product Design and Development

2008 ◽  
pp. 449-473
Author(s):  
Xuan F. Zha
Keyword(s):  
Product Design ◽  
Engineering Design ◽  
Intelligent System ◽  
Design And Development ◽  
Virtual Engineering ◽  
Modeling Analysis ◽  
Neuro Fuzzy ◽  
Intelligent Approach ◽  
Design Customization ◽  
Virtual Product

In this Chapter, a novel integrated intelligent framework is first proposed for virtual engineering design and development based on the soft computing and hybrid intelligent techniques. Then, an evolutionary neuro-fuzzy (EFNN) model is developed and used for supporting modeling, analysis and evaluation, and optimization tasks in the design process, which combines fuzzy logic with neural networks and genetic algorithms. The developed system HIDS-EFNN provides a unified integrated intelligent environment for virtual engineering design and simulation. The focus of this Chapter is to present a hybrid intelligent approach with evolutionary neuro-fuzzy modeling and its applications in virtual product design, customization and simulation (product performance prediction). Case studies are provided to illustrate and verify the proposed model and approach.

Engineering Centres as Targets for Industrial Innovation

1999 ◽  
Vol 13 (1) ◽  
pp. 54-60 ◽  
Author(s):  
C. R. Burvill ◽  
A. E. Samuel
Keyword(s):  
Human Resources ◽  
Product Design ◽  
Engineering Design ◽  
Research Design ◽  
Collaborative Work ◽  
Design And Development ◽  
Industrial Projects ◽  
Short Horizon ◽  
The University ◽  
Engineering Centre

The Engineering Design Group (EDG) at the University of Melbourne has forged an ongoing teaching, research, design and development liaison programme with industrial partners, in particular with small and medium-sized enterprises. A government-sponsored centre, the Advanced Engineering Centre for Manufacturing has provided the necessary financial and human resources to facilitate this collaborative work. The EDG collaborative programme incorporates a staged liaison model: short-horizon senior undergraduate industrial projects and medium-horizon product design and development opportunities that can include training for industry clients, leading to long-horizon collaborative projects that attempt to enhance the technologies used in Australian industry.

On Adaptable Design of Auto Assembly Machine Product Platform for Small Shaft and Sleeve Subassemblies

2013 ◽  
Vol 589-590 ◽  
pp. 675-679
Author(s):  
Zi Qiang Zhang ◽  
Zhi Feng Deng ◽  
Run Dian Li
Keyword(s):  
Product Design ◽  
Main Parameter ◽  
Design Method ◽  
General Structure ◽  
Structure Design ◽  
Product Platform ◽  
Adaptable Design ◽  
Parameterized Design ◽  
Design Cycle ◽  
Module Partition

Aiming at there are multifarious small shaft and sleeve subassemblies, in which shape and quantity of parts are different, the adaptable design concept was applied to the design of auto assembly machine product platform for small shaft and sleeve subassemblies. According to the general structure design and the module partition for the product platform, a parameterized design method that the number of stations is the main parameter was proposed. And the parameterized product platform, which can be suitable for the automatic assembling of multifarious small shaft and sleeve subassemblies and can be upgraded, was founded. Thus, the universality of the product platform is improved, and the product design cycle is shortened.

scholarly journals A Probability-Based Hybrid User Model for Recommendation System

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Jia Hao ◽  
Yan Yan ◽  
Guoxin Wang ◽  
Lin Gong ◽  
Bo Zhao
Keyword(s):  
Product Design ◽  
Recommendation System ◽  
Information Overload ◽  
Rapid Development ◽  
User Model ◽  
Information Communication ◽  
Design Cycle ◽  
Available Information ◽  
User Ratings ◽  
Content Based Filtering

With the rapid development of information communication technology, the available information or knowledge is exponentially increased, and this causes the well-known information overload phenomenon. This problem is more serious in product design corporations because over half of the valuable design time is consumed in knowledge acquisition, which highly extends the design cycle and weakens the competitiveness. Therefore, the recommender systems become very important in the domain of product domain. This research presents a probability-based hybrid user model, which is a combination of collaborative filtering and content-based filtering. This hybrid model utilizes user ratings and item topics or classes, which are available in the domain of product design, to predict the knowledge requirement. The comprehensive analysis of the experimental results shows that the proposed method gains better performance in most of the parameter settings. This work contributes a probability-based method to the community for implement recommender system when only user ratings and item topics are available.

Sign in / Sign up

Export Citation Format

Share Document