scholarly journals Aerospace Electronics Reliability Must be Quantified to be Assured: Application of the Probabilistic Design for Reliability Concept

2020 ◽  
pp. 235-243
Author(s):  
E. Suhir ◽  
◽  
Keyword(s):  
Probabilistic Design ◽  
Design For Reliability ◽  
Electronics Reliability

Design for Component Reliability: A New Challenge for the Control Systems Analyst?

1974 ◽  
Vol 96 (1) ◽  
pp. 41-48
Author(s):  
J. W. Brewer ◽  
L. M. Gordon
Keyword(s):  
Feedback Control ◽  
Control Systems ◽  
Fast Response ◽  
Design Criteria ◽  
Modal Control ◽  
Probabilistic Design ◽  
Component Reliability ◽  
Reliability Design ◽  
Design For Reliability ◽  
Systems Analyst

The authors demonstrate that if feedback control and component reliability design criteria are considered simultaneously, significant gains in reliability may result. The discussion begins with a tutorial introduction to probabilistic design for reliability. Simple examples are employed to illustrate the analytical tie between feedback control and component reliability. In the case of modal control, it is demonstrated that fast response and component reliability are competing criteria. The question of system (as opposed to component) reliability is discussed in a succeeding paper.

Physics of Failure as an Integrated Part of Design for Reliability

2004 ◽  
Vol 47 (1) ◽  
pp. 67-73 ◽  
Author(s):  
Ian Snook ◽  
Jane Marshall ◽  
Robert Newman
Keyword(s):  
Failure Mechanisms ◽  
Cost Savings ◽  
Assessment Model ◽  
Time To Failure ◽  
Physics Of Failure ◽  
Design For Reliability ◽  
Accurate Design ◽  
Electronics Reliability ◽  
United Kingdom Government ◽  
Effective Use

A study of the use of Physics of Failure (PoF) methods was undertaken as part of a collaboratively funded United Kingdom Government Department of Industry (UK DTI) project for developing a holistic methodology and assessment model for the enhancement of electronics reliability. Several case studies were conducted to review the use of PoF techniques. The study concluded PoF methods, and in particular life modeling, are essential tools in design for reliability. PoF analysis can also be used to establish reliability enhancement testing (RET) and environmental stress screening (ESS) conditions. A guide for the effective use and inclusion of the PoF methods in the product design and development process was developed and described. Use of the techniques facilitates accurate design right, thereby avoiding redesign and retest cycles, with consequent cost savings and reduced product development times. The PoF method has limitations. It is essentially a bottom-up approach assessing time to failure due to known failure mechanisms. Consequently, it is difficult to apply to full systems, has limitations in assessing failure rate prior to the onset of life-limiting wear out, and is dependent on identifying and having a validated model for all potential failure mechanisms.

Case Study of the Design for Reliability for Remanufactured Military Power Supply

2020 ◽  
Vol 20 (3) ◽  
pp. 209-215
Author(s):  
Hyun-Seok Song ◽  
Min-Ho Son ◽  
Sung-Ju Yoo ◽  
Do-Hyun Jung ◽  
Boo-Hee Park
Keyword(s):  
Power Supply ◽  
Military Power ◽  
Design For Reliability

A dynamic probabilistic design method for blade-tip radial running clearance of aeroengine high-pressure turbine

2014 ◽  
Vol 229 (10) ◽  
pp. 1861-1872 ◽  
Author(s):  
Cheng-Wei Fei ◽  
Wen-Zhong Tang ◽  
Guang-chen Bai ◽  
Zhi-Ying Chen
Keyword(s):  
High Pressure ◽  
Response Surface ◽  
Response Surface Method ◽  
Probabilistic Analysis ◽  
High Reliability ◽  
Probabilistic Design ◽  
High Pressure Turbine ◽  
Analysis And Design ◽  
Surface Method ◽  
Blade Tip

Around the engineering background of the probabilistic design of high-pressure turbine (HPT) blade-tip radial running clearance (BTRRC) which conduces to the high-performance and high-reliability of aeroengine, a distributed collaborative extremum response surface method (DCERSM) was proposed for the dynamic probabilistic analysis of turbomachinery. On the basis of investigating extremum response surface method (ERSM), the mathematical model of DCERSM was established. The DCERSM was applied to the dynamic probabilistic analysis of BTRRC. The results show that the blade-tip radial static clearance δ = 1.82 mm is advisable synthetically considering the reliability and efficiency of gas turbine. As revealed by the comparison of three methods (DCERSM, ERSM, and Monte Carlo method), the DCERSM reshapes the possibility of the probabilistic analysis for turbomachinery and improves the computational efficiency while preserving computational accuracy. The DCERSM offers a useful insight for BTRRC dynamic probabilistic analysis and optimization. The present study enrichs mechanical reliability analysis and design theory.

Sign in / Sign up

Export Citation Format

Share Document