Uncertainty analysis of cutting parameters during grinding based on RSM optimization and Monte Carlo simulation
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Mehmet Fatih Kahraman
Abstract
Due to the importance of high surface quality of machined parts, regarding its functional requirements, it is necessary to determine an appropriate set of grinding parameters. According to the uncertainty of the machining process, the statistical techniques have recently been used to set up an experimental-based model for estimating the performance of machining parameters and optimizing them. The purpose of this study is to demonstrate the modeling and optimization of the grinding process using three approaches. First, multi non-linear regression (MNLR) based on central composite design (CCD) was used to determine the process model. Then the grinding parameters were optimized considering response surface methodology (RSM). Finally, the probabilistic uncertainty analysis was applied by using Monte Carlo simulation as a function of wheel speed and feed rate. The surface roughness value, which was named the response variable, was estimated by fitting the MNLR model with a predicted regression coefficient (R2pred) of 84.69 %. Wheel speed of 4205.6 rpm and feed rate of 2.969 mm × min−1 were calculated as RSM-optimized conditions with a surface roughness of 2.26326 μm. The verification experiments were performed with three replications to verify the predicted surface roughness value obtained with the derived model, and 2.263 ± 2 % μm of surface roughness was calculated using RSM optimized conditions. Monte Carlo simulations were found to be quite effective for identification of the uncertainties in surface roughness that could not be identified by deterministic ways.
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© 2019, Carl Hanser Verlag, München
Artikel in diesem Heft
- Inhalt/Contents
- Contents
- Fachbeiträge/Technical Contributions
- Mechanical properties of cryogenically treated AA5083 friction stir welds
- Fatigue life evaluation of composite wing spar cap materials
- Effect of Cu addition on porous NiTi SMAs produced by self-propagating high-temperature synthesis
- Optimized random sampling for the load level method in Wöhler tests
- Monte Carlo simulation and evaluation of burst strength of pressure vessels
- Stress analysis of a Wankel engine eccentric shaft under varied thermal conditions
- Effectiveness of Ti micro-alloying for the suppression of Fe impurities in AZ91 Mg alloys and associated corrosion properties
- Mechanical properties of hybrid fiber reinforced concrete and a nondestructive evaluation
- Multi-objective optimization of an intersecting elliptical pressure hull as a means of buckling pressure maximizing and weight minimization
- Preload dependent material properties of lamination stacks for electric machines
- Effect of inoculant type and treatment material quantity on properties of vermicular graphite cast iron rail vehicle brake discs
- Effects of the chemical treatment of avocado pear wood filler on the properties of LDPE composites
- Uncertainty analysis of cutting parameters during grinding based on RSM optimization and Monte Carlo simulation
- Applicability of compact tension specimens for evaluation of the plane-strain fracture toughness of steel
Artikel in diesem Heft
- Inhalt/Contents
- Contents
- Fachbeiträge/Technical Contributions
- Mechanical properties of cryogenically treated AA5083 friction stir welds
- Fatigue life evaluation of composite wing spar cap materials
- Effect of Cu addition on porous NiTi SMAs produced by self-propagating high-temperature synthesis
- Optimized random sampling for the load level method in Wöhler tests
- Monte Carlo simulation and evaluation of burst strength of pressure vessels
- Stress analysis of a Wankel engine eccentric shaft under varied thermal conditions
- Effectiveness of Ti micro-alloying for the suppression of Fe impurities in AZ91 Mg alloys and associated corrosion properties
- Mechanical properties of hybrid fiber reinforced concrete and a nondestructive evaluation
- Multi-objective optimization of an intersecting elliptical pressure hull as a means of buckling pressure maximizing and weight minimization
- Preload dependent material properties of lamination stacks for electric machines
- Effect of inoculant type and treatment material quantity on properties of vermicular graphite cast iron rail vehicle brake discs
- Effects of the chemical treatment of avocado pear wood filler on the properties of LDPE composites
- Uncertainty analysis of cutting parameters during grinding based on RSM optimization and Monte Carlo simulation
- Applicability of compact tension specimens for evaluation of the plane-strain fracture toughness of steel
