A hybrid decision making approach to prevent chatter vibrations

Sofuoğlu, Mehmet Alper; Orak, Sezan

doi:10.1016/j.asoc.2015.08.018

Cited by 16 publications

(6 citation statements)

References 36 publications

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“…When main effects plots are examined, the lowest value of the number of revolutions, tool overhang lengths and workpiece hardness increase stable cutting depths and chatter vibrations are prevented. The results are consistent with literature [32]. …”

Section: Variance Analysis and Taguchi Optimizationsupporting

confidence: 83%

A Novel Hybrid Multi Criteria Decision Making Model: Application to Turning Operations

Sofuoğlu

Orak

2017

ijisae

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Abstract:Multi criteria decision making models (MCDM) are extensively used in material and process selection in engineering. In this study, a novel hybrid decision making model is developed. Best-Worst method (BWM) is hybridized with TOPSIS, Grey Relational Analysis (GRA) and Weighted Sum Approach (WSA). Developed hybrid models produce similar results in different weight value of decision makers so they are combined. The model is tested in a turning operation and an optimization study is conducted by using Taguchi experimental design. The developed model can be used by engineers and operators in manufacturing environment.

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Section: Variance Analysis and Taguchi Optimizationsupporting

confidence: 83%

A Novel Hybrid Multi Criteria Decision Making Model: Application to Turning Operations

Sofuoğlu

Orak

2017

ijisae

Self Cite

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“…The effect of cutting parameters on surface roughness and vibration frequencies during turning with two different cutting tools are discussed in [5]. The effect of cutting parameters when turning different alloys on surface roughness and vibration amplitudes is studied in [11]- [18]. Optimization of parameters has been performed in all cases by using various methods like ANOVA [14], Fuzzy Techniques [11], [17], Response Surface [18].…”

Section: Introductionmentioning

confidence: 99%

Low Cost Vibration Measurement and Optimization during Turning Process

Shankar¹,

Chand²,

Rao³

et al. 2018

AMR

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During machining any material, vibrations play a major role in deciding the life of the cutting tool as well as machine tool. The magnitude acceleration of vibrations is directly proportional to the cutting forces. In other words, if we are able to measure the acceleration experienced by the tool during machining, we can get a sense of force. There are many commercially available, pre-calibrated accelerometer sensors available off the shelf. In the current work, an attempt has been made to measure vibrations using ADXL335 accelerometer. This accelerometer is interfaced to computer using Arduino. The measured values are then used to optimize the machining process. Experiments are performed on Brass. During machining, it is better to have lower acceleration values. Thus, the first objective of the work is to minimize the vibrations. Surface roughness is another major factor which criterion “lower is the better” applies. In order to optimize the values, a series of experiments are conducted with three factors, namely, tool type (2 levels), Depth of cut (3 levels) and Feed are considered (3 levels). Mixed level optimization is performed using Taguchi analysis with L18 orthogonal array. Detailed discussion of the parameters shall be given in the article.

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“…The results showed that the feed is the main factor affecting the surface roughness, while the cutting depth has no significant effect on the surface roughness. In order to obtain good cutting quality and reduce excessive tool wear, many scholars [13][14][15][16][17] are committed to adopting various types of optimization algorithms to reduce the influence of various interference factors on the surface integrity of products, so as to obtain the best cutting strategy. There are also some scholars [18][19][20] who are committed to studying the influence of different coating tools, different texture tools, and different wear degree tools on the machined surface roughness during hard turning.…”

Section: Introductionmentioning

confidence: 99%

Analysis of machined surface topography of AISI M2 in hard turning based on Box-Behnken Design

Zhou

Wang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

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The surface topography of the workpiece directly affects its service performance. In this study, CLSM and SEM are used to analyze the effects of turning speed, turning feed, and turning depth on the three dimensional topography and surface defects of the machined surface. Amplitude parameters are used to characterize the machined surface topography of hard turning. Twelve groups of single factor experiments are used to analyze the influence of turning parameters on surface topography. Based on analysis of variance (ANOVA) and 15 groups of Box-Behnken Design (BBD), whether cutting parameters have significant influence on arithmetic mean deviation ( Sa) is analyzed. A mathematical statistical model of Sa is established by Response Surface Methodology, and the effectiveness of the model is verified by 10 groups of experiments. By analyzing the research results, it can be concluded that: (1) The consistency of the surface topography of hard turning is good; (2) In the turning feed direction, the surface defects of the machined surface by hard turning include turning grooves, material side flow, adhering chips, and material surface tearing; (3) In hard turning, the most significant factor affecting the three dimensional roughness ( Sa) is the turning feed.

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A hybrid decision making approach to prevent chatter vibrations

Cited by 16 publications

References 36 publications

A Novel Hybrid Multi Criteria Decision Making Model: Application to Turning Operations

A Novel Hybrid Multi Criteria Decision Making Model: Application to Turning Operations

Low Cost Vibration Measurement and Optimization during Turning Process

Analysis of machined surface topography of AISI M2 in hard turning based on Box-Behnken Design

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