scholarly journals Numerical Control Machine Optimization Technologies through Analysis of Machining History Data Using Digital Twin

2021 ◽  
Vol 11 (7) ◽  
pp. 3259
Author(s):  
Eunyoung Heo ◽  
Namhyun Yoo
Keyword(s):  
Tool Wear ◽  
Tool Path ◽  
Tool Material ◽  
Numerical Control ◽  
Path Optimization ◽  
Machining Time ◽  
Tool Path Optimization ◽  
Digital Twin ◽  
Opposite Case ◽  
Nc Data

In numerical control (NC)-based machining, NC data-based tool paths affect both quality and productivity. NC data are generated according to cutting conditions. However, NC data causing excessive cutting load can accelerate tool wear and even result in tool damage. In the opposite case, increasing machining time can affect productivity. NC data can influence surface quality from the perspective of cutting dynamics according to machine tool–material-tool combination. There have been a lot of studies on tool-path optimization. However, it is impossible to perfectly predict cutting dynamics such as tool wear, material non-uniformity, chatter, and spindle deformation. In fact, such prediction-based tool-path optimization can cause errors. Therefore, this study attempts to synchronize spindle load and NC data and uniformize the machining load through the analysis of stored data using digital-twin technology, which stores and manages machining history. Uniformizing machining load can reduce rapid traverse in the event of no load, feed rate in an overload area, and shock on a tool when the tool and material are met by adding approach feed. Analyzing results of the attempts proposed in this paper, the chatter was completely removed in the machining with D100 and D16, although some chatter remained in the machining with D25 and D16R3 tools. In addition, the processing time could be reduced from a minimum of 7% to a maximum of 50% after optimization.

New Approaches in Tool Path Optimization of CNC Machining: A Review

2014 ◽  
Vol 663 ◽  
pp. 657-661 ◽  
Author(s):  
Khashayar Danesh Narooei ◽  
Rizauddin Ramli
Keyword(s):  
Tool Path ◽  
Research Direction ◽  
Cnc Machining ◽  
Numerical Control ◽  
Path Optimization ◽  
Machining Process ◽  
Future Research ◽  
Automotive Manufacturing ◽  
Tool Path Optimization ◽  
Automotive Part

Computer numerical control (CNC) machines have been widely used in automotive manufacturing industries especially of machining operation in automotive part such as engine body and cylinder. One of the key features that improve efficiency of CNC machining is through the optimization of tool path. Previous researcher to optimize tool path has premeditated several approaches. This paper aims to provide a critical review of those approaches that have been developed in tool path. The developed tool path approaches covered different types of machining process under various constraints condition. This paper focuses on tool path generation in CNC machining such as milling and cutting process. Based on our finding, this review paper collects information on tool path optimization and recommends future research direction.

scholarly journals Application of precedence constrained travelling salesman problem model for tool path optimization in CNC milling machines

2019 ◽  
Vol 9 (3) ◽  
pp. 59-68
Author(s):  
Ilker Kucukoglu ◽  
Tulin Gunduz ◽  
Fatma Balkancioglu ◽  
Emine Chousein Topal ◽  
Oznur Sayim
Keyword(s):  
Optimization Problem ◽  
Tool Path ◽  
Travelling Salesman Problem ◽  
Numerical Control ◽  
Path Optimization ◽  
Cnc Milling ◽  
Travelling Salesman ◽  
Tool Path Optimization ◽  
Milling Machines ◽  
Internal Operations

In this study, a tool path optimization problem in Computer Numerical Control (CNC) milling machines is considered to increase the operational efficiency rates of a company. In this context, tool path optimization problem of the company is formulated based on the precedence constrained travelling salesman problem (PCTSP), where the general form of the TSP model is extended by taking the precedence of the tool operations into account. The objective of the model is to minimize total idle and unnecessary times of the tools for internal operations. To solve the considered problem, a recent optimization algorithm, called Satin Bowerbird Optimizer (SBO), is used. Since the SBO is first introduced for the global optimization problems, the original version of the SBO is modified for the PCTSP with discretization and local search procedures. In computational studies, first, the performance of the proposed algorithm is tested on a well-known PCTSP benchmark problems by comparing the proposed algorithm against two recently proposed meta-heuristic approaches. Results of the comparisons show that the proposed algorithm outperforms the other two competitive algorithms by finding better results. Then, the proposed algorithm is carried out to optimize the hole drilling processes of three different products produced by the company. For this case, with up to 4.05% improvement on the operational times was provided for the real-life problem of the company. As a consequence, it should be noted that the proposed solution approach for the tool path optimization is capable of providing considerable time reductions on the CNC internal operations for the company.

Free Surface NC Machining Tool Path Optimization Algorithm Based on the Iso-Scallop Method

2015 ◽  
Vol 799-800 ◽  
pp. 1193-1196 ◽  
Author(s):  
Shu Kun Cao ◽  
Yong Hong Deng ◽  
Kun Zhang ◽  
Shi Ping Liu ◽  
Wen Jing Meng
Keyword(s):  
Free Surface ◽  
Optimization Algorithm ◽  
Tool Path ◽  
Nc Machining ◽  
Path Optimization ◽  
Surface Boundary ◽  
Step Size ◽  
Processing Efficiency ◽  
Tool Path Optimization ◽  
Point Set

In order to solve the problem of free surface processing of tool redundancy,the tool lack problem, and the demerit of low machining efficiency, etc., based on the iso-scallop method, based on the iso-scallop method, we put forward a kind of free surface NC machining tool path optimization algorithm,make the surface boundary discrete point set, which is generated by point set ring machining path, diagonal connection and then use the path of the adjacent curve, forming cutting tool machining line.finally, the calculation of step size and line spacing in machining path based on the iso-scallop method and the process of feeding direction is optimized. Proved by the simulation process, the algorithm is feasible and can effectively avoid tool redundancy and tool lack problems,concesquently, processing efficiency improved significantly.

Tool path optimization based on wear prediction in Electric Arc Sweep Machining

2020 ◽  
Vol 54 ◽  
pp. 328-336
Author(s):  
Ahmad Farhadi ◽  
Lin Gu ◽  
Wansheng Zhao ◽  
K.P. Rajurkar
Keyword(s):  
Tool Path ◽  
Electric Arc ◽  
Path Optimization ◽  
Wear Prediction ◽  
Tool Path Optimization

Tool path optimization for robotic surface machining by using sampling-based motion planning algorithms

2020 ◽  
pp. 1-28
Author(s):  
Lu Lei ◽  
Jiong Zhang ◽  
Xiaoqing Tian ◽  
Jiang Han ◽  
Hao Wang
Keyword(s):  
Motion Planning ◽  
Configuration Space ◽  
Tool Path ◽  
Path Optimization ◽  
Machining Process ◽  
Axis Orientation ◽  
Surface Machining ◽  
Tool Path Optimization ◽  
Tool Axis ◽  
Planning Algorithms

Abstract This paper develops a tool path optimization method for robot surface machining by sampling-based motion planning algorithms. In the surface machining process, the tool-tip position needs to strictly follow the tool path curve and the posture of the tool axis should be limited in a certain range. But the industrial robot has at least six degrees of freedom (Dof) and has redundant Dofs for surface machining. Therefore, the tool motion of surface machining can be optimized using the redundant Dofs considering the tool path constraints and limits of the tool axis orientation. Due to the complexity of the problem, the sampling-based motion planning method has been chosen to find the solution, which randomly explores the configuration space of the robot and generates a discrete path of valid robot state. During the solving process, the joint space of the robot is chosen as the configuration space of the problem and the constraints for the tool-tip following requirements are in the operation space. Combined with general collision checking, the limited region of the tool axis vector is used to verify the state's validity of the configuration space. In the optimization process, the sum of path length of each joint of the robot is set as the optimization objective. The algorithm is developed based on the open motion planning library (OMPL) which contains the state-of-the-art sampling-based motion planners. Finally, two examples are used to demonstrate the effectiveness and optimality of the method.

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