Optimization of strain measurement procedure based on fuzzy quality evaluation and Taguchi experimental design

Moayyedian, Mehdi; Derakhshandeh, Javad Farrokhi; Lee, Sang‐Heon

doi:10.1007/s42452-019-1428-x

Cited by 5 publications

(3 citation statements)

References 36 publications

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“…Consequently, the maximum S/N ratio signifies the optimal process parameter. Additionally, the ANOVA test can determine the significance of statistically significant output quality characteristics [17,18].…”

Section: Taguchi Applicationmentioning

confidence: 99%

Tensile Test Optimization Using the Design of Experiment and Soft Computing

Moayyedian,

Qazani,

Cvorovic

et al. 2023

Processes

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The tensile testing of various materials to evaluate the influence of different machining parameters is a fundamental requirement in every industry. The objective of this study is to investigate the effects of temperature, the area of the contact point, and the operator on the tensile test of brass samples. This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). By combining these techniques, the study aims to leverage their individual strengths and achieve superior results. The results reveal that the area of the contact point exerts the most significant influence on the tensile test, followed by the operator and temperature. The optimal levels of these parameters are determined to be a level of two for the operator, a level of three for the area of the contact point, and a level of one for the temperature. The study demonstrated that the hybrid soft computing method outperformed the traditional DOE method, achieving a substantial improvement in elongation of 32.9%. The optimized combination of machining parameters led to a notable enhancement in the brass samples’ tensile properties, highlighting the effectiveness of the applied methodology. The marginal error of only 0.72% in the hybrid approach showcases its high precision and reliability in determining the optimal levels of machining parameters. These findings underscore the potential of the Taguchi optimization method, ANFIS, and GA in achieving superior results in the tensile testing of materials, particularly in cases where multiple parameters are involved. The research results provide valuable insights for industries relying on precise material characterization, offering a robust methodology for optimizing tensile testing procedures. The study’s success in leveraging a hybrid soft computing approach serves as a promising avenue for future research in the field of material testing and optimization techniques.

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Section: Taguchi Applicationmentioning

confidence: 99%

Tensile Test Optimization Using the Design of Experiment and Soft Computing

Moayyedian,

Qazani,

Cvorovic

et al. 2023

Processes

Self Cite

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“…One of the conventional methods to implement the experiments is the trial and error method, which is very time consuming and expensive. Taguchi method is an acceptable method to be replaced instead of conventional methods, which leads to a reduction in cost and time [19][20][21]. Taguchi method is one of the significant quality strategies to minimize the number of experiments and also consider the effects of all controllable factors [22].…”

Section: Taguchi Applicationmentioning

confidence: 99%

Surface roughness analysis in milling machining using design of experiment

Moayyedian

Mohajer

Kazemian³

et al. 2020

SN Appl. Sci.

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The objective of this paper is to evaluate the effect of different machining parameters on the surface roughness of Hardox 600 (hard and tough steel with high wear resistance and hardness of 600 HBW) in the milling process using the Taguchi optimization method. The selected process parameters are feed rate, spindle speed, the depth of cut, and radial immersion. Based on the number of parameters and their levels L 9 , an orthogonal array of the Taguchi was chosen. Surface roughness data were collected for nine experiments. Signal to noise (S/N) ratio and analysis of variance calculation were conducted to determine the optimum level and percentage of contribution of each parameter. Furthermore, the mathematical model was created to determine the predicted value of S/N ratio, and the experiments were implemented to justify the mathematical model. It is found that the margin error for the mathematical model and the experimental result was 5.5%, resulting from any uncontrollable parameters affecting the machining process. It is also identified that the radial immersion was the most significant parameter with 45.33% of contribution in the milling procedure of steel with high hardness (Hardox 600). Hence, the surface roughness was mostly influenced by radial immersion (D), followed by the depth of cut (C), spindle speed (B), and finally, feed rate (A) respectively based on the level of their significance. The optimal level of the selected parameters for the minimum surface roughness value is the radial immersion at level 1, depth of cut at level 1, spindle speed at level 2, and feed rate at level 2.

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“…Various experiments have also been conducted to measure strain using an electrical [10,11], optical [12] or mechanical strain gauge [13]. The strain gauge was calibrated in a windmill structure [14]. Another experiment to measure strain was performed on a cantilever beam with a sensor.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Polymeric Beam Under Elastic and Plastic Loads

Almutairi¹,

Khan²

2022

Int. j. appl. phys. sci.

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printing is now one of the most essential industrial production technologies. However, the most commonly used material in Fused Deposition Modelling (FDM) technology is Acrylonitrile Butadiene Styrene (ABS), has excellent mechanical properties. During the last few decades, researchers have focused on issues related to self-healing materials. However, because of their low mechanical strength, self-healing materials have yet to find widespread application. In this work, the behaviour of polymeric beams made of TPU "roller" materials and their responses under load is developed. One type of 3D-printed beam was designed to test different force ranges (0-0.73575 N) and deflection resolutions (15 mm-19 mm) with respect to the length. An assessment was also made of the self-healing mechanism, which encompasses the intrinsic and extrinsic techniques for each application. In terms of an extrinsic procedure, external healing agents such as micro-capsules were introduced into the system. But we came up with a way to estimate the length of the crack tip based on the relationship between the force applied and the load frame's movement. Origami capsule-based healing systems are a well-known technology that has multiple uses in smart materials.

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Optimization of strain measurement procedure based on fuzzy quality evaluation and Taguchi experimental design

Cited by 5 publications

References 36 publications

Tensile Test Optimization Using the Design of Experiment and Soft Computing

Tensile Test Optimization Using the Design of Experiment and Soft Computing

Surface roughness analysis in milling machining using design of experiment

Experimental Investigation of Polymeric Beam Under Elastic and Plastic Loads

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