Optimizing compliant gripper mechanism design by employing an effective bi-algorithm: fuzzy logic and ANFIS

Nguyen, Tien Van; Huynh, Ngoc-Thai; Vu, Ngoc-Chien; Kieu, Vu N. D.; Huang, Shyh‐Chour

doi:10.1007/s00542-020-05132-w

Cited by 49 publications

(34 citation statements)

References 47 publications

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“…The flexure width, that is, the thickness of the stage, was fixed under the condition of 30 mm, where length L and thickness t, which affect the flexural stiffness of the leaf flexure, were divided into three control factors: the primary flexure connected to the primary mass stage and the secondary flexure connected to the fixed frame. The three-level values were set to establish the Taguchi L9 (3 3 ) orthogonal array experimental configuration, as shown in Table 1, and SolidWorks was used to model the primary mass stage with nine experimental size configurations to be imported into Ansys for simulation. The Taguchi optimization method, which was developed by Dr. Genichi Taguchi, is an experimental method that can effectively strengthen the quality and solve problems, and its experimental accuracy, application range, and economic effect have always been highly praised.…”

Section: Analysis Of Optimal Designmentioning

confidence: 99%

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Optimal Design of a Leaf Flexure Compliant Mechanism Based on 2-DOF Tuned Mass Damping Stage Analysis

2022

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This study proposed an innovative design of a leaf flexural-based 2-DOF tuned mass damping stage that can be integrated into a micro-electromechanical system precision positioning stage to reduce the displacement response of the precision positioning stage excited by a specific vibration frequency and to achieve the damping effect and vibration reduction without adding viscous damping materials. A prototype that conforms to dual-axis decoupling and has 2-DOF translation capability was designed using parallel and vertical arrangements of a leaf flexure. The Taguchi design method and the finite element method were used on the relevant design parameters of the primary mass stage to determine the best size configuration for the maximum off-axial stiffness ratio and the parameters of the tuned mass damper closest to the natural frequency of the primary mass stage with the minimum deflection. In addition, an optimization module, based on a genetic algorithm (GA), was used to optimize the design of the flexure size of the tuned mass damper. Finally, experiments were conducted, the vibration displacement response of the primary mass stage was observed, and the effect with or without the addition of tuned mass damping on the system vibration response was compared. The results indicate that the tuned mass damper can effectively reduce the response amplitude of the stage, where the maximum reduction rate in the experiment was 63.0442%, and the mass of the damper was highly positively correlated with the amplitude reduction.

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Section: Analysis Of Optimal Designmentioning

confidence: 99%

“…Moreover, the numerical model was simulated by using the finite element method, incorporating the fuzzy logic system, and an ANFIS for a compliant gripper mechanism was introduced [3]. In particular, [4] proposed a theoretical model of a blade-type flexible hinge with a damping layer and conducted free vibration and modal analysis.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of a Leaf Flexure Compliant Mechanism Based on 2-DOF Tuned Mass Damping Stage Analysis

2022

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“…Their paper proposed one of the newest approaches to conditionbased maintenance modeling. There are also plenty of research papers on Machine learning [23], optimization [24][25][26][27][28][29][30] and mathematical modeling of different systems [31][32][33][34][35][36][37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

A Mathematical Optimization Model for Maintenance Planning of School Buildings

Zandiyehvakili¹,

Aminnejad²,

Lork³

2022

Intelligent Automation &Amp; Soft Computing

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This article presents a methodology to optimize the maintenance planning model and minimize the total maintenance costs of a typical school building. It makes an effort to provide a maintenance schedule, focusing on maintenance costs. In the allocation of operations to the school equipment, the parameter of its age was also taken into account. A mathematical optimization model to minimize the school maintenance cost in a three-year period was provided in the GAMS software with CPLEX solver. Finally, the optimum architecture of the Perceptron multi-layer neural network was used to predict the schedule of equipment operations and maintenance costs. The Multi-layer Perceptron (MLP) optimum neural network results, with minor Mean Squared Error (MSE) and Root Mean Squared Error (RMSE), indicated that the proposed model was capable of predicting the schools' maintenance costs with high accuracy. According to the results, the school's maintenance cost for the intended three-year period based on the Weibull distribution was equal to 15361 currency units per hour, in which the "heating and cooling system" has the highest contribution. Hence, accurate and definite planning can prevent damages to such equipment, while saving the school's maintenance costs.

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“…At the same time, a Pro-LA architecture is proposed in [28] that targets error-tolerant applications. Reference [29] proposes an optimizing approach for "gripper mechanism" using appropriate bi-algorithms in a separate approach. An optimization technique for a "dragonfly-inspired compliant joint" is proposed in [30], whereas reference [31] proposes an optimization technique for a "linear compliant mechanism of nanoindentation tester".…”

Section: Introduction To Multiply and Accumulate (Mac) Architecturementioning

confidence: 99%

An Evolutionary Normalization Algorithm for Signed Floating-Point Multiply-Accumulate Operation

Sarma¹,

Bhargava²,

Kotecha³

2022

Computers, Materials &Amp; Continua

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In the era of digital signal processing, like graphics and computation systems, multiplication-accumulation is one of the prime operations. A MAC unit is a vital component of a digital system, like different Fast Fourier Transform (FFT) algorithms, convolution, image processing algorithms, etcetera. In the domain of digital signal processing, the use of normalization architecture is very vast. The main objective of using normalization is to perform comparison and shift operations. In this research paper, an evolutionary approach for designing an optimized normalization algorithm is proposed using basic logical blocks such as Multiplexer, Adder etc. The proposed normalization algorithm is further used in designing an 8 × 8 bit Signed Floating-Point Multiply-Accumulate (SFMAC) architecture. Since the SFMAC can accept an 8-bit significand and a 3-bit exponent, the input to the said architecture can be somewhere between −(7.96872) 10 to + (7.96872) 10 . The proposed architecture is designed and implemented using the Cadence Virtuoso using 90 and 130 nm technologies (in Generic Process Design Kit (GPDK) and Taiwan Semiconductor Manufacturing Company (TSMC), respectively). To reduce the power consumption of the proposed normalization architecture, techniques such as "block enabling" and "clock gating" are used rigorously. According to the analysis done on Cadence, the proposed architecture uses the least amount of power compared to its current predecessors.

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Optimizing compliant gripper mechanism design by employing an effective bi-algorithm: fuzzy logic and ANFIS

Cited by 49 publications

References 47 publications

Optimal Design of a Leaf Flexure Compliant Mechanism Based on 2-DOF Tuned Mass Damping Stage Analysis

Optimal Design of a Leaf Flexure Compliant Mechanism Based on 2-DOF Tuned Mass Damping Stage Analysis

A Mathematical Optimization Model for Maintenance Planning of School Buildings

An Evolutionary Normalization Algorithm for Signed Floating-Point Multiply-Accumulate Operation

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