Research on machining parameter optimization in finishing milling with multiple constraints

2021 ◽  
pp. 095440542110579
Author(s):  
Xing Zhang ◽  
Zhao Zhao ◽  
Zhuocheng Guo ◽  
Wanhua Zhao
Keyword(s):  
Parameter Optimization ◽  
Golden Section ◽  
Variable Parameter ◽  
Spindle Speed ◽  
Cnc Machining ◽  
Feasible Region ◽  
Machining Efficiency ◽  
Multiple Constraints ◽  
Machining Parameter ◽  
Axial Depth

High efficiency and high precision milling, as the eternal goal of CNC machining, needs to balance many constraints for selecting the most reasonable processing parameters. This paper presents an efficient machining parameter optimization method for finishing milling operation with multiple constraints. Firstly, under the multiple constraints of parameter feasible region, milling force, milling stability, roughness, and machining contour accuracy, a multi-variable parameter optimization model with machining efficiency as the objective is established. A four level cycle optimization strategy has been detailly described for solving the optimization problem, in which the feed per tooth is optimized by using the golden section method, and with the aid of the random vector search method, the spindle speed, radial, and axial depth cuts are both numerically iterated. The optimal machining parameter combination of the tooth number, feed per tooth, spindle speed, radial, and axial depth of cuts are achieved at last. Finally, the experimental verification results show that the proposed method can greatly improve the machining efficiency under chatter free condition and achieve an efficient finishing milling with consideration of the multiple constraints.

scholarly journals Experimental and Mathematical Modeling for Prediction of Tool Wear on the Machining of Aluminium 6061 Alloy by High Speed Steel Tools

2017 ◽  
Vol 7 (1) ◽  
pp. 461-469 ◽  
Author(s):  
Imhade Princess Okokpujie ◽  
Omolayo M. Ikumapayi ◽  
Ugochukwu C. Okonkwo ◽  
Enesi Y. Salawu ◽  
Sunday A. Afolalu ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Tool Wear ◽  
Feed Rate ◽  
End Milling ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Radial Depth ◽  
Machining Parameter ◽  
Axial Depth

AbstractIn recent machining operation, tool life is one of the most demanding tasks in production process, especially in the automotive industry. The aim of this paper is to study tool wear on HSS in end milling of aluminium 6061 alloy. The experiments were carried out to investigate tool wear with the machined parameters and to developed mathematical model using response surface methodology. The various machining parameters selected for the experiment are spindle speed (N), feed rate (f), axial depth of cut (a) and radial depth of cut (r). The experiment was designed using central composite design (CCD) in which 31 samples were run on SIEG 3/10/0010 CNC end milling machine. After each experiment the cutting tool was measured using scanning electron microscope (SEM). The obtained optimum machining parameter combination are spindle speed of 2500 rpm, feed rate of 200 mm/min, axial depth of cut of 20 mm, and radial depth of cut 1.0mm was found out to achieved the minimum tool wear as 0.213 mm. The mathematical model developed predicted the tool wear with 99.7% which is within the acceptable accuracy range for tool wear prediction.

Machining Parameter Optimization of Bidirectional CFRP Composite Pipe by Genetic Algorithm

2014 ◽  
Vol 56 (9) ◽  
pp. 728-736 ◽  
Author(s):  
Krishnasamy Vijaykumar ◽  
Kavan Panneerselvam ◽  
Abdullah Naveen Sait
Keyword(s):  
Genetic Algorithm ◽  
Parameter Optimization ◽  
Composite Pipe ◽  
Cfrp Composite ◽  
Machining Parameter

Adaptive neuro-fuzzy fusion of multi-sensor data for monitoring of CNC machining

Sensor Review ◽  
2017 ◽  
Vol 37 (1) ◽  
pp. 78-81 ◽  
Author(s):  
Srdjan Jovic ◽  
Obrad Anicic ◽  
Milivoje Jovanovic
Keyword(s):  
Selection Process ◽  
Spindle Speed ◽  
Cnc Machining ◽  
Numerical Control ◽  
Periodic Component ◽  
Sensor Data ◽  
Depth Of Cut ◽  
Inference System ◽  
Content Type ◽  
Neuro Fuzzy

Purpose Acoustic emission (AE) could be used for prevention and detection of tool errors in Computer Numerical Control (CNC) machining. The purpose of this study is to analyze the AE form of CNC machining operations. Design/methodology/approach Experimental measurements were performed with three sensors on the CNC lathe to collect the data of the CNC machining. Adaptive neuro-fuzzy inference system (ANFIS) was applied for the fusion from the sensors’ signals to determine the strength of the signal periodic component among the sensors. Findings There were three inputs, namely, spindle speed, feed rate and depth of cut. ANFIS was also used to determine the inputs’ influence on the prediction of strength of the signal periodic component. Variable selection process was used to select the most dominant factors which affect the prediction of strength of the signal periodic component. Originality/value Results were shown that the spindle speed has the most dominant effect on the strength of the signal periodic component.

scholarly journals Study on Generating Machining Performance of Two-Dimensional Ultrasonic Vibration-Composited Electrolysis/Electro-Discharge Technology for MMCs

Materials ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 617
Author(s):  
Jing Li ◽  
Wanwan Chen ◽  
Yongwei Zhu
Keyword(s):  
Ultrasonic Vibration ◽  
Orthogonal Experiment ◽  
Spindle Speed ◽  
Machining Efficiency ◽  
Matrix Composites ◽  
Two Dimensional ◽  
Machining Performance ◽  
Factors Affecting ◽  
Electro Discharge Machining ◽  
Workpiece Vibration

Ultrasonic vibration-composited electrolysis/electro-discharge machining technology (UE/DM) is effective for machining particulate-reinforced metal matrix composites (MMCs). However, the vibration of the tool or workpiece suitable for holes limits the application of UE/DM. To improve the generating machining efficiency and quality of flat and curved surfaces, in this study, we implemented two-dimensional ultrasonic vibration into UE/DM and constructed a novel method named two-dimensional ultrasonic vibration-composited electrolysis/electro-discharge machining (2UE/DM). The influence of vibration on the performance of 2UE/DM compared to other process technologies was studied, and an orthogonal experiment was designed to optimize the parameters. The results indicated that the materiel remove rate (MRR) mainly increased via voltage and tool vibration. The change current was responsible for the MRR in the process. Spindle speed and workpiece vibration were not dominant factors affecting the MRR; the spindle speed and tool and workpiece vibration, which reduced the height difference between a ridge and crater caused by abrasive grinding, were responsible for surface roughness (Ra) and form precision (δ). Additionally, the optimized parameters of 1000 rpm, 3 V, and 5 um were conducted on MMCs of 40 SiCp/Al and achieved the maximum MRR and minimum Ra and δ of 0.76 mm3/min, 3.35 um, and 5.84%, respectively. This study’s findings provide valuable process parameters for improving machining efficiency and quality for MMCs of 2UE/DM.

CNC Milling Tool of Choice to Explore

2013 ◽  
Vol 706-708 ◽  
pp. 1246-1249
Author(s):  
Da Lin Zhang ◽  
Ji Lin Guo ◽  
Tian Rui Zhou
Keyword(s):  
Type Structure ◽  
Cnc Machining ◽  
Machining Efficiency ◽  
Processing Quality ◽  
Cnc Milling ◽  
Tool Selection ◽  
Milling Cutter ◽  
Milling Tool

The CNC tool selection is an important factor affecting the CNC machining efficiency and parts processing quality. In this paper, based on the analysis of the CNC milling cutter type, structure, diameter, angle, economy and other factors, a reasonable strategy to select the tool.

Study on the Optimized Cutting Parameters for the Nuclear Channel Head

2011 ◽  
Vol 121-126 ◽  
pp. 3534-3540
Author(s):  
Zhong Hai Yu ◽  
Tian Chen ◽  
Di Shi Liu ◽  
Jing Wang
Keyword(s):  
Mathematical Model ◽  
Nuclear Power ◽  
Large Scale ◽  
Production Efficiency ◽  
Biological Evolution ◽  
Cutting Parameters ◽  
Optimal Combination ◽  
Cnc Machining ◽  
Machining Efficiency ◽  
Complicated Shape

As one of the key components of the nuclear power equipments, the nuclear channel head has a complicated shape and is difficult to be machined. In this paper, the optimal combination of cutting parameters of large-scale nuclear channel head is researched. Considering the machining requirements and machining conditions, the cutting parameters optimized mathematical model is established to achieve the goal of maximum production efficiency. Meanwhile, the target functions and the corresponding constraint functions are analyzed. Finally, by using genetic algorithm of simulating biological evolution, the mathematic models of cutting parameters of CNC machining are compared and optimized. Then the optimized results are compared with the cutting parameters obtained through the trial-producing experience and manual of a small-size channel head. We conclude that the optimized cutting parameters can greatly increase the CNC machining efficiency of Nuclear Channel Head.

Experiment and Analysis on Side Milling Deformation of Thin-Walled Workpieces Using Laddered Symmetrical Tool Path

2013 ◽  
Vol 710 ◽  
pp. 233-237
Author(s):  
Yong Qiang He
Keyword(s):  
Parameter Optimization ◽  
Tool Path ◽  
Cutting Parameters ◽  
Deformation Characteristics ◽  
Side Milling ◽  
Machining Center ◽  
Thin Walled ◽  
Aluminum 7075 ◽  
Machining Parameter ◽  
Deformation Error

The aluminum 7075 workpieces are machined on a vertical machining center KX650 using laddered symmetrical tool path. The deformation characteristics are studied under different cutting conditions. Different cutting parameters are changed one by one in side milling tests to find out their impact on deformation error. The analyzed result provides a solid basis for machining parameter optimization in side milling thin-walled workpieces.

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