A reliability-based design framework for early stages of design process

Börklü

et al. 2019

JAMDSM

This paper describes the designing and manufacturing process of a complex special utility vehicle (SUV) using the methodical design approach for which the basics were explained decades ago in Germany. The application steps of the design methodology with comprehensive data are clearly outlined and the experiences gained during the project along with the authors' experiences in design research and design practice over 25 years are generously shared. This paper contributes to the methodical approach laid by Pahl & Beitz with an industrial example proving its applicability in real engineering design applications. The proposed solutions for difficulties encountered in the process are especially valuable and applicable for SMEs (small and medium-sized enterprises) in the field. Such details are reported with comprehensive discussions in this paper.

Section: Introductionmentioning

confidence: 69%

The design process of the complex Special Utility Vehicle using the methodical design approach

Börklü

et al. 2019

JAMDSM

“…7. The expansion is truncated at the linear terms to obtain the first order approximation of the performance function [7][8][9].…”

Section: First Order Second Moment (Fosm)mentioning

confidence: 99%

“…The performance function for a leak detection system has been formulated as [2]: This example adopted from [9].…”

Section: Examplementioning

confidence: 99%

Probabilistic Modeling of Failure

Aljaroudi¹

2019

Failure Analysis

Failure of a system or a component of a system is and has been a major concern to systems' operators and owners. Failure could be traced back to different causes and may take different forms and shapes. It may result from software malfunction, hardware degraded performance, human error, sabotage, environmental as well as other external factors. There are various techniques found in the literature that can assist in the analysis of failure. These techniques comprise deterministic and probabilistic techniques. Deterministic techniques ignore the variability and uncertainties of the variables in the analysis which may lead to unsatisfactory and inaccurate results. While probabilistic techniques produce accurate and an allinclusive result because they incorporate the variabilities and uncertainties in the analysis. The focus of this chapter is to present commonly used probabilistic failure analysis techniques and their mathematical derivations. Examples to enhance the understanding of the concept of failure analysis are also presented.

“…Such systematic design methods emphasize that the systematic workflow ensures the success better and quickly depending on the designer's experience, knowledge and intuition. On the other hand, the design approaches have been less accepted and used in industry because they take a long time to achieve the design goal, and are not easily applicable and understandable (Badke-Schaub et al (2011);Tomiyama et al, 2009;Mayda and Choi, 2017). To facilitate the applicability of these approaches so as to benefit from their superiorities, it is suggested to share carefully and explicitly conducted real-time design projects in detail, and experiences along with their feedbacks for the communities including R&D activities and others.…”

Section: Introductionmentioning

confidence: 99%

A practical application for machine design education

Börklü

Yüksel

et al. 2018

JAMDSM

Machine design is perhaps the most important course for Mechanical Engineering students. There are many diverse approaches to the design education in universities worldwide. This paper outlines some collaborative experiences for methodical design education in mechanical/industrial design engineering context at Turkish Universities. For this purpose, a case study based on a student project titled "the conceptual design of a new meatball forming machine" is utilized and the experiences of the conceptual design works made with project groups are presented. The design process outlined in this paper is based on the systematic design approach of Pahl and Beitz. The method applied includes problem definition, formulating (function diagram), creating and selecting of best design variants. The positive feedbacks received from student practices show that this work can be useful for industry followers, design lecturers and young engineers.