Robust Design of a Bimetallic Micro Thermal Sensor Using Taguchi Method

Akbarzadeh, Alireza; Kouravand, Shahriar; Imani, Behnam Moetakef

doi:10.1007/s10957-012-0171-x

Cited by 8 publications

(10 citation statements)

References 5 publications

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“…On the other hand, high performance and insensitivity to uncertainties are the fundamental requirements for MEMS design. Over the past two decades, robust optimization for MEMS has gradually attracted the attention of both academics and engineering practice [39][40][41]. In this section, this method is applied to three applications of MEMS: a micro-force sensor, a low-noise image sensor, and a capacitive accelerometer.…”

Section: Application Discussionmentioning

confidence: 99%

Evidence-Theory-Based Robust Optimization and Its Application in Micro-Electromechanical Systems

Huang

Yang

et al. 2019

Applied Sciences

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The conventional engineering robustness optimization approach considering uncertainties is generally based on a probabilistic model. However, a probabilistic model faces obstacles when handling problems with epistemic uncertainty. This paper presents an evidence-theory-based robustness optimization (EBRO) model and a corresponding algorithm, which provide a potential computational tool for engineering problems with multi-source uncertainty. An EBRO model with the twin objectives of performance and robustness is formulated by introducing the performance threshold. After providing multiple target belief measures (Bel), the original model is transformed into a series of sub-problems, which are solved by the proposed iterative strategy driving the robustness analysis and the deterministic optimization alternately. The proposed method is applied to three problems of micro-electromechanical systems (MEMS), including a micro-force sensor, an image sensor, and a capacitive accelerometer. In the applications, finite element simulation models and surrogate models are both given. Numerical results show that the proposed method has good engineering practicality due to comprehensive performance in terms of efficiency, accuracy, and convergence.

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Section: Application Discussionmentioning

confidence: 99%

Evidence-Theory-Based Robust Optimization and Its Application in Micro-Electromechanical Systems

Huang

Yang

et al. 2019

Applied Sciences

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“…Some reasons for low implementation of design of experiments and, in particular, of the Taguchi method of experimental design in manufacturing sector follow, as stated by Antony et al Consequently, the challenge is to continue performing these kinds of application projects that help businesses learn to utilize useful statistical tools for process improvement and experimental design. The literature provides a vast amount of actual practical problems solved using experiments designed by the classical or Taguchi approaches, such as in [17][18][19][20][21][22][23]. A better understanding of both alternatives can be achieved consulting to Taguchi et al [16] and Montgomery [24].…”

Section: Discussionmentioning

confidence: 99%

Application of the Taguchi method to improve a medical device cutting process

Limón-Romero

Tlapa

Báez-López

et al. 2016

Int J Adv Manuf Technol

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Companies currently are immersed in a highly competitive world; therefore, they must adopt continuous process and product improvement techniques to remain in business and retain loyal customers. This paper presents the analysis of a medical device manufacturing company to determine what factors influence the length variation of plastic tubes in a cutting process. These tubes are part of intensive care sets; therefore, their length and diameter are critical features. Recently, products were rejected for not meeting the tube length specification, causing customer complaints regarding product quality. The Taguchi method was applied to find significant factors that determine the best configuration in the cutting process to approximate this quality characteristic to its desired target value. Important factors and their corresponding best levels were identified. After the proposed process adjustment was implemented, the process capability index (C pk ) increased from 0.90 to 1.58, which indicated a considerable reduction in customer complaints and corresponding costs.

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“…In Table 5, Analysis of Variance (ANOVA) is shown for S/N ratios. In this table, AdjMS i determines adjusted mean sum of squares for factor i and is defined as, Akbarzadeh et al (2013):…”

Section: Determining Optimal Conditions Using Taguchi Robust Designmentioning

confidence: 99%

Investigating Flat Plate Drag Reduction Using Taguchi Robust Design

Ghassabi¹,

Kahrom

2015

JAFM

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Research has shown when a rectangular cylinder is located near a flat plate, the flat plate skin friction coefficient changes as a function of the rectangular aspect ratio, gap height between the rectangular and flat plate, distance of rectangular from the flat plate leading edge, and speed of free stream. However, there is no comprehensive experimental study on the comparison of the results of the flat plate skin friction coefficient for all the interactions between effective variables in the presence and absence of the obstacle. On the other hand, testing all possible combinations of effective variables will not be reasonable. In this paper, maximum and minimum ratios of the flat plate skin friction coefficients with and without the rectangular cylinder were determined using robust Taguchi design. Design of experiments method was applied for decreasing the number of experiments without losing the required information in the first step. Then, experimentation was done in a wind tunnel, the maximum speed of which was 13 m/s. Finally, the flat plate skin friction coefficient was optimized using Taguchi method and Minitab software. Results showed that presence of the rectangular cylinder near the flat plate decreased the average skin friction coefficient of the flat plate for all the possible combinations of the effective variables. Additionally, maximum value of the flat plate skin friction reduction was about 40%.

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Robust Design of a Bimetallic Micro Thermal Sensor Using Taguchi Method

Cited by 8 publications

References 5 publications

Evidence-Theory-Based Robust Optimization and Its Application in Micro-Electromechanical Systems

Evidence-Theory-Based Robust Optimization and Its Application in Micro-Electromechanical Systems

Application of the Taguchi method to improve a medical device cutting process

Investigating Flat Plate Drag Reduction Using Taguchi Robust Design

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