Author
Babur Ozcelik
Other affiliations: Yıldız Technical University
Bio: Babur Ozcelik is an academic researcher from Gebze Institute of Technology. The author has contributed to research in topics: Machining & Taguchi methods. The author has an hindex of 28, co-authored 52 publications receiving 3142 citations. Previous affiliations of Babur Ozcelik include Yıldız Technical University.
Topics: Machining, Taguchi methods, Tool wear, Drilling, Cutting fluid
Papers
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TL;DR: In this paper, the effects of process parameters for thin shell plastic part were exploited using both design of experiment (DOE), Taguchi orthogonal array and finite element software MoldFlow (FE).
326 citations
TL;DR: In this paper, performance of six CFs, four different VBCFs from sunflower and canola oils with different ratios of extreme pressure (EP) additives, and two commercial types of CFs (semi-synthetic and mineral) were evaluated for reducing of surface roughness, and cutting and feed forces during turning of AISI 304L austenitic stainless steel with carbide insert tool.
275 citations
TL;DR: In this article, the effects of spindle speed, feed per tooth and depth of cut on tool wear, force and surface roughness were investigated using first-order models with interaction.
212 citations
TL;DR: In this article, a series of mold analyses were performed to exploit the warpage and sink index data to solve the quality problem occurring the injection-molded thermoplastic parts.
201 citations
TL;DR: In this article, the effects of cutting fluid types are investigated as a function of three milling factors (cutting speed, depth of cut and feed rate) on process responses (specific energy, tool life and surface roughness).
195 citations
Cited by
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TL;DR: This study analyzes the published results for the algorithms presented in the CEC’2005 Special Session on Real Parameter Optimization by using non-parametric test procedures and states that a parametric statistical analysis could not be appropriate specially when the authors deal with multiple-problem results.
Abstract: In recent years, there has been a growing interest for the experimental analysis in the field of evolutionary algorithms. It is noticeable due to the existence of numerous papers which analyze and propose different types of problems, such as the basis for experimental comparisons of algorithms, proposals of different methodologies in comparison or proposals of use of different statistical techniques in algorithms' comparison.
In this paper, we focus our study on the use of statistical techniques in the analysis of evolutionary algorithms' behaviour over optimization problems. A study about the required conditions for statistical analysis of the results is presented by using some models of evolutionary algorithms for real-coding optimization. This study is conducted in two ways: single-problem analysis and multiple-problem analysis. The results obtained state that a parametric statistical analysis could not be appropriate specially when we deal with multiple-problem results. In multiple-problem analysis, we propose the use of non-parametric statistical tests given that they are less restrictive than parametric ones and they can be used over small size samples of results. As a case study, we analyze the published results for the algorithms presented in the CEC'2005 Special Session on Real Parameter Optimization by using non-parametric test procedures.
1,543 citations
TL;DR: This review presents a comprehensive description of the current pathways for recycling of polymers, via both mechanical and chemical recycling, and discusses the main challenges and some potential remedies to these recycling strategies, thus providing an academic angle as well as an applied one.
1,352 citations
TL;DR: The RepRap as discussed by the authors is an open-source self-replicating rapid prototyper that makes 3D polymer-based printers readily available to the public at low costs.
911 citations
TL;DR: A review of the state of research on the chatter problem and classifications the existing methods developed to ensure stable cutting into those that use the lobbing effect, out-of-process or in-process, and those that, passively or actively, modify the system behavior as mentioned in this paper.
Abstract: Chatter is a self-excited vibration that can occur during machining operations and become a common limitation to productivity and part quality. For this reason, it has been a topic of industrial and academic interest in the manufacturing sector for many years. A great deal of research has been carried out since the late 1950s to solve the chatter problem. Researchers have studied how to detect, identify, avoid, prevent, reduce, control, or suppress chatter. This paper reviews the state of research on the chatter problem and classifies the existing methods developed to ensure stable cutting into those that use the lobbing effect, out-of-process or in-process, and those that, passively or actively, modify the system behaviour.
790 citations
TL;DR: In this article, a review of green machining including the cutting fluid type as well as the methods to apply the cutting fluids in machining process is made regarding an attempt was made regarding of green manufacturing including cutting fluid types and its machining conditions are critically important in order to maximize the efficiency of cutting fluids.
555 citations