Experiments were performed on surface grinding and cylindrical grinding for optimization of grinding process parameters for improved surface finish Grinding wheel speed depth of cut table feed
To achieve better surface quality and close dimensional tolerance finishing operations like surface and cylindrical grinding are widely employed in many of the manufacturing industries For determining the optimal values of various grinding parameters like wheel speed feed rate depth of cut width of cut wheel material etc multi criteria decision making MCDM
Grinding is widely used in mechanical manufacturing to obtain both precision and part requirements In order to achieve carbon efficiency improvement and save costs carbon emission and processing cost models of the grinding process are established in this study In the modeling process a speed change based adjustment function was introduced to dynamically
The various process parameters of a cylindrical grinding machine include depth of cut material hardness work piece speed grinding wheel grain size and grinding wheel speed Optimization of Process Parameters on Cylindrical Grinding Machine Using Taguchi Method November 13 2018 International Journal for Innovative Engineering
On the basic relationship between grinding parameters Annals of CIRP 1970 18 Google Scholar H Opitz W Ernst and K F Meyer Optimization of a Grinding Process and Criteria for Wheel Life In Tobias Koenigsberger F eds Proceedings of the Fifteenth International Machine Tool Design and Research Conference
Parameter optimization for grinding process of micropores with high aspect ratio is discussed in this research To ensure the surface accuracy on the inner side of deep micropore the manual
In the present work the cylindrical grinding of C40E steel is done for the optimization of grinding process parameters During this experimental work input process parameters speed feed
In grinding process Surface quality and metal removal rate are the two important performance characteristics to be consider In this paper Taguchi L9 orthogonal array optimization method has been use d to determine the optimum machining parameters in Surface grinding process operation on AISI D2 steel
Taguchi method and PCR TOPSIS are used for the optimization process The result of this research shows that by using Taguchi method and PCR TOPSIS the optimum condition occurs on speed ratio 36 fine position 18 µm/s and spark out s Multi response optimization of internal grinding process parameters for outer ring using Taguchi
In this paper we propose to investigate the influence of the grinding parameters on the surface finish of glass samples in order to limit the damages at the earlier stage of the machining process
The outcomes of a multi criteria decision making MCDM study in CBN grinding Al6061 T6 to determine the optimal input process parameters to achieve both low surface roughness Ra and maximum
go back to reference Jagtap KR Ubale SB Kadam MS 2011 Optimization of cylindrical grinding process parameters for AISI 5120 steel using Taguchi method Int J Des Manuf Technol 2 1 47 56 Jagtap KR Ubale SB Kadam MS 2011 Optimization of cylindrical grinding process parameters for AISI 5120 steel using Taguchi method Int J Des Manuf
Robotic belt grinding is a productive method frequently used to finish intricate parts To address the challenges of ensuring grinding efficiency and quality due to the complexity of the robotic belt polishing process a multi algorithm fusion based intelligent decision making method is proposed in this study The broad learning system BLS was utilized to construct
In this paper a new evolutionary computation technique particle swarm optimization is developed to optimize the grinding process parameters such as wheel speed workpiece speed depth of
Rajesh Rai and H K Vijaykumar [20] used the Taguchi method for the optimization of grinding parameters the DOC the grit size and the feed The experiments were conducted on a horizontal surface grinding machine This study demonstrated the analysis of surface grinding process with cutting parameters at two levels and the surface
Vol 2 Issue 4 2016 IJARIIE ISSN O 2395 4396 2867 180 Optimization of surface grinding process parameter for AISI 321 by Using Taguchi Method Avinash S Jejurkar1 Vijay L Kadlag2 1Lecturer Department of Mechanical Engineering SVIT Chincholi Nashik Maharashtra India 2Associate Professor Department of Mechanical
According to ANOVA mist flow rate % is the most significant parameter for combine grinding outcomes followed by air pressure % and stand off distance % 3 Nozzle angle is significantly affect on the MQL grinding process Effective mist performance was observed at nozzle angle of 12° with horizontal reference plane
In grinding process Surface quality and metal removal rate are the two important performance characteristics to be consider In this paper Taguchi L9 orthogonal array optimization method has been used to determine the optimum machining parameters in Surface grinding process operation on AISI D2 steel The parameters considered in this paper are
The various process parameters of a cylindrical grinding machine include depth of cut material hardness work piece speed grinding wheel grain size and grinding wheel speed Optimization of Process Parameters on Cylindrical Grinding Machine Using Taguchi Method November 13 2018 International Journal for Innovative Engineering
This paper presents the multi objective optimization of process parameters of a grinding process using various non traditional optimization techniques such as artificial bee colony harmony search
From the experimental work it has been found that for the given range of controllable factors of cylindrical grinding operation the surface roughness of the SS304 austenitic stainless steel workpiece material varies between µm and µm and the material removal rate varies between mm3/s to mm 3 /s Considering equal weightage for
In this research work the machinability of turning Hastelloy X with a PVD Ti Al N coated insert tool in dry wet and cryogenic machining environments is investigated The machinability indices namely cutting force CF surface roughness SR and cutting temperature CT are studied for the different set of input process parameters such as cutting speed feed
Gopan K Leo Dev Wins and A Surendran Integrated ANN GA approach for predective modeling and optimization of grinding parameters with surface roughness as Machinability study of carbon fiber reinforced polymer in the longitudinal and transverse direction and optimization of process parameters using PSO GSA Eng Sci Technol
