Stimulate and Eliminate Electronic Product Design Defects By Reliability Enhancement Testing

2013 ◽  
Vol 663 ◽  
pp. 621-625
Author(s):  
Hai Xin Peng ◽  
Rui Kang
Keyword(s):  
Product Design ◽  
Elimination Process ◽  
The Past ◽  
Design Defect ◽  
Detailed Explanation ◽  
Electronic Product ◽  
Reliability Enhancement ◽  
Design Defects

This paper first introduces the test profile of Reliability Enhancement Testing(RET) then completed in the past three years, a large number of the implementation results of the RET test were statistically analyzed, given the distribution of the design defect, the last two design defects excitation and elimination process were be detailed explanation, and demonstrated it is exceptionally effective that the RET test inspire and eliminate electronic product design defects.

A Forecast of the Adoption of Wearable Technology

2018 ◽  
pp. 1370-1387 ◽  
Author(s):  
Tom Page
Keyword(s):  
Product Design ◽  
Medical Devices ◽  
Healthcare Costs ◽  
Customer Relations ◽  
Product Category ◽  
Wearable Technology ◽  
The Body ◽  
Market Size ◽  
The Past ◽  
Technology Market

This research aims to quantify the current market size for wearable technology, and determine why this market has struggled over the past decade. These are products which are worn on the body and enhanced using electronics. Forecasts have been made as to how this wearable technology is likely to develop in terms of market size and product design or function. It is predicted that in five years the wearable technology market will be several times larger than it is currently, and entertainment devices will overtake fitness to become the largest product category. Medical devices will be used to reduce healthcare costs by monitoring patients within their own home and wearable technology will allow businesses to improve customer relations and productivity.

Electronic product design

1997 ◽  
Vol 18 (2) ◽  
pp. 117-118
Author(s):  
P.E. Hill
Keyword(s):  
Product Design ◽  
Electronic Product

Projective Visualization

2016 ◽  
pp. 274-289
Author(s):  
Luigi Cocchiarella
Keyword(s):  
Product Design ◽  
Visual Language ◽  
Design Development ◽  
150Th Anniversary ◽  
Architectural Engineering ◽  
The Past ◽  
Science And Art ◽  
Over Time

We will basically deal with three issues. Firstly, talking about visualization in relation to Design seems to be matter of the present era while talking about projection mostly pushes our feelings back to the past, despite even advanced digital visualizations are projection-based, or better, they are projective visualizations. Secondarily, these projective visualizations are not only mere supports to show design results but, mainly, they are irreplaceable thinking-and-operational tools for design development. Third, given their semantic wideness, these visualizations work as very customized tools in the various branches of Architectural, Engineering, or Product Design and so forth, as we also discussed in a cycle of seminars on The Visual Language of Technique Between Science and Art organized by the author during the celebrations of the 150th anniversary of Politecnico di Milano (Cocchiarella, 2015). Last, in order to connect the abovementioned issues we will remark the combined power of Geometry and Graphics, friendly called The Ghost and The Ghost-Buster and their roles over time.

The Effective Use and Implementation of Computer-Aids for Life-Cycle Product Design

1992 ◽  
Author(s):  
K. Ishii ◽  
L. Hornberger
Keyword(s):  
Product Design ◽  
Material Selection ◽  
Plastic Material ◽  
Successful Implementation ◽  
Design Environment ◽  
Paper Briefly ◽  
Assembly Design ◽  
The Past ◽  
Effective Use

Abstract This paper describes the key elements of usage and implementation of AI-based tools in a real product design environment. In the past several years, the authors have developed several intelligent programs to empower mechanical engineers in the product design of personal computers. The programs focused on plastic material selection, snap fit design, design for assembly, design for service, and design for injection molding. Engineers used the tools initially as training tools and then attempted to use them for real design tasks. Some programs received long term acceptance and usage by designers, while others did not. The metrics for successful development of the AI-based tools do not coincide with successful implementation and usage. This paper briefly describes each of the programs, takes a critical look at their long term utility, and seeks to extract the metrics behind successful tools in practical product design.

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