A Fuzzy Logic Based Rocket Launch Tube’s DFMEA

2011 ◽  
Vol 87 ◽  
pp. 119-122
Author(s):  
Tosapolporn Pornpibunsompop ◽  
Attapon Charoenpon ◽  
Ekaratch Pankaew
Keyword(s):  
Fuzzy Logic ◽  
Failure Modes ◽  
Mechanical Load ◽  
Material Selection ◽  
Early Stage ◽  
Rule Base ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Potential Failure ◽  
Launch Tube

DFMEA is a significantly efficient tool to systematically evaluate risk in early stage of product design and development but some of knowledge and information are uncertain and imprecise. This research focuses on fuzzy logic approach to diminish weaknesses and applies to launch tube’s DFMEA. The methodology started from determine membership function of severity, occurrence, and detection and provide fuzzy rule base to arranged category of risk. Afterwards, center average index was selected as defuzzifier for risk value representation. Consequently, the prioritization based on risk value was done and chosen the first five risk value of potential failure modes to analyze causes then recommended appropriate actions. After application of fuzzy logic approach, the most vital potential failure mode is damaged launch tube due to detention force which is rated as first and second priority depending on potential cause or mechanism. The third priority is launch tube distortion. The mechanical load calculation and proper material selection are the recommended actions for overcoming those potential failure modes.

scholarly journals Supply chain risk assessment approach for process quality risks

2017 ◽  
Vol 34 (7) ◽  
pp. 940-954 ◽  
Author(s):  
Abhijeet Ghadge ◽  
Xie Fang ◽  
Samir Dani ◽  
Jiju Antony
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Supply Chain ◽  
Failure Modes ◽  
Design Stage ◽  
Security Risks ◽  
Content Type ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Purpose The purpose of this paper is to proactively analyse and mitigate the root causes of the product and security risks. The case study approach examines the effectiveness of the fuzzy logic approach for assessing the product and process-related failure modes within global supply chain context. Design/methodology/approach The case study of a Printed Circuit Board Company in China is used as a platform for conducting the research. Using data triangulation, the data are collected and analyzed through interviews, questionnaires, expert opinions and quantitative modelling for some interesting insights. Findings Fuzzy logic approach for failure mode and effect analysis (FMEA) provides a structured approach for understanding complex behaviour of failure modes and their associated risks for products and processes. Today’s managers should conduct robust risk assessment during the design stage to avoid product safety and security risks such as recalls. Research limitations/implications The research is based on the single case study and multiple cases from different industry sectors may provide some additional insights. Originality/value The study attempts to mitigate the root causes of product and processes using fuzzy approach to FMEA in supply chain network.

Application of Fuzzy Logic in Design Failure Mode and Effects Analysis

2013 ◽  
Vol 371 ◽  
pp. 832-836 ◽  
Author(s):  
Nadia Belu ◽  
Daniel Constantin Anghel ◽  
Nicoleta Rachieru
Keyword(s):  
Fuzzy Logic ◽  
Failure Mode ◽  
Automotive Industry ◽  
Failure Modes ◽  
Fuzzy Model ◽  
Potential Problems ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Promising Solution ◽  
Potential Risks

Failure Mode and Effects Analysis (FMEA) is one of the basic and the most used techniques of quality management that is used for continuous improvements in product or process designs. While applying this technique, determining the Risk Priority Numbers (RPN), which indicate the levels of risks associated with potential problems, is of prime importance for the success of application. A traditional RPN is obtained as product of three risk factors: occurrence, severity and detection. Values of these factors are generally attained from past experience and this way of risk assessment sometimes leads to inconsistencies and inaccuracies during priority numbering. Fuzzy logic approach is considered a promising solution in order to give a more accurate ranking of potential risks. This paper presented a fuzzy model, in order to assess and rank risks associated to failure modes that could appear in the functioning of a headlining product used in automotive industry.

Fuzzy Logic Approach for Material Selection in Mechanical Engineering Design

2019 ◽  
pp. 99-116
Author(s):  
Nadeem Faisal ◽  
Apurba Kumar Roy ◽  
Kaushik Kumar
Keyword(s):  
Fuzzy Logic ◽  
Mechanical Design ◽  
Material Selection ◽  
Selection Process ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Optimum Material ◽  
Specific Material ◽  
Fuzzy Characteristic ◽  
Selection Of

The selection of materials for a product in mechanical design holds a great importance as the selection of a specific material can impact the success or failure of the product. There are lot of methods and approaches that are available for material selection process, but majority of them work well with only material properties dealing in quantitatively measured properties. With so much amount of material being developed and researched each and every day, the selection of an optimum material has become a fuzzy characteristic. In this chapter, a simplified fuzzy logic is used as a simple, easy and effective method for choosing an optimum material in mechanical design problems. An illustration is carried out when the fuzzy logic is applied to the selection of material for aircraft wing's spar and how an optimum material is achieved.

Improvement of Process Failure Mode and Effects Analysis Using Fuzzy Logic

2013 ◽  
Vol 371 ◽  
pp. 822-826 ◽  
Author(s):  
Nicoleta Rachieru ◽  
Nadia Belu ◽  
Daniel Constantin Anghel
Keyword(s):  
Fuzzy Logic ◽  
Failure Mode ◽  
Failure Modes ◽  
Health And Safety ◽  
Fuzzy Model ◽  
Environmental Health And Safety ◽  
Process Failure ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
The Stability

Risk analysis increased in importance within environmental, health and safety regulation last few years. Process Failure Mode and Effects Analysis (PFMEA) is one of the most used techniques to evaluate a process for strengths, weaknesses, potential problem areas or failure modes, and to prevent problems before they occur. The traditional PFMEA determines the risk priorities of failure modes using the risk priority numbers (RPNs) by multiplying the scores of the risk factors like the occurrence (O), severity (S) and detection (D) of each failure mode. The method has been criticized to have several shortcomings. Fuzzy logic approach is preferable in order to remove the deficiencies in assigning the risk priority numbers. In this study, a fuzzy-based FMEA is to be applied to improve the manufacturing process of rear bumper, injection part used in automotive industry. The fuzzy model PFMEA can provide the stability of process assurance.

A vector-format fuzzy logic approach for online robot motion planning in 3D space and its application to underwater robotic vehicle

Robotica ◽  
2006 ◽  
Vol 25 (3) ◽  
pp. 325-339
Author(s):  
X. J. Wu ◽  
J. Tang ◽  
Q. Li ◽  
K. H. Heng
Keyword(s):  
Fuzzy Logic ◽  
Motion Planning ◽  
Fuzzy Reasoning ◽  
Rule Base ◽  
Robot Motion ◽  
Robot Motion Planning ◽  
Fuzzy Variables ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Fuzzy Logic Technique

SUMMARYDue to its inherent advantages such as reasoning in the format of heuristic rules based on human experience and less stringent requirement on environmental description, fuzzy logic is a promising tool for the robot motion planning in 3-dimensional dynamic environment. In general, in the Cartesian space, the variables used in characterizing the motion of a mobile robot, such as position, velocity, and force relative to other objects or coordinate frames, contain both the magnitude and the pointing information. In previous studies, the fuzzy reasoning on the pointing information was often developed based on the decomposition of the pointing vector followed by conventional fuzzy logic technique on individual vector components. Consequently, when multiple pointing variables are involved, the number of fuzzy variables that need to be considered simultaneously becomes large and the rule base may become very complex, which diminishes the advantages of the fuzzy reasoning approach. In this research, we tackle this issue by implementing a new fuzzy reasoning approach based on vector-format fuzzy variables. To achieve this, a set of new membership functions is defined for the vector-format fuzzy variables, followed by the establishment of a series of new vector-based fuzzification, fuzzy inference, and defuzzification procedures. By treating the multidimensional variables as unitary linguistic variables, the number of fuzzy variables in the fuzzy propositions and therefore the scale of the rule base can be reduced considerably. As an application example, the proposed new fuzzy reasoning approach for motion planning is applied to an Underwater Robotics Vehicle (URV) operating in an oceanic environment, where the pointing of the goal and the pointing vectors of the obstacles are treated as vector-type fuzzy variables, which leads to a compact and significantly simplified rule base. The motion planner can successfully guide the URV to move in the complicated dynamic environ-ment in a real-time fashion, which clearly demonstrates the effectiveness and robustness of the new fuzzy logic approach.

Computing the Probability of Target Detection in Dyanmic Visual Scenes Containing Clutter Using Fuzzy Logic Approach

1998 ◽  
Author(s):  
Thomas Meitzler ◽  
Regina Kistner ◽  
Bill Pibil ◽  
Euijung Sohn ◽  
Darryl Bryk ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Target Detection ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Visual Scenes
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