TOOL PATH GENERATION OF CONTOUR PARALLEL BASED ON ANT COLONY OPTIMISATION

2016 ◽  
Vol 78 (6-9) ◽  
Author(s):  
Haslina Abdullah ◽  
Rizauddin Ramli ◽  
Dzuraidah Abd Wahab ◽  
Jaber Abu Qudeiri
Keyword(s):  
Path Length ◽  
Manufacturing Industry ◽  
Tool Path ◽  
Previous Method ◽  
Ant Colony ◽  
Numerical Control ◽  
Ant Colony Optimisation ◽  
Sharp Corner ◽  
Machining Time ◽  
Simulation Results

In today’s competitive market of manufacturing industry, shorter machining time is one of important factor for reducing the manufacturer’s cost. This paper presents the minimisation of machining time of computer numerical control (CNC) by eliminating the uncut region of sharp corner based on contour parallel milling method.  Each uncut region at sharp corner is represented by uncut line which consists of two nodes in x and y directions.  An Ant Colony Optimisation (ACO) method is used to optimize the tool path length because of its capability to find the shortest tool path length. The optimisation of tool path length based on ACO algorithm ascertained that the cutting tool remove the uncut line once and able to eliminate the uncut region in the shortest tool path length. To observe the effectiveness of the ACO performance, the simulation results are compared with the results obtained by the previous method.  Finally the simulation results show the reduction of 5% machining time compared to previous method.

scholarly journals Optimization of Tool Path Length on Three-Dimensional Drilling Application Using Ant Colony Algorithm

2021 ◽  
Vol 2129 (1) ◽  
pp. 012060
Author(s):  
Muhammad Danial Ikmal bin Rusman ◽  
Haslina Abdullah ◽  
Mohamad Shukri Zakaria ◽  
Norfazillah Talib ◽  
Lee Woon Kiow ◽  
...  
Keyword(s):  
Path Length ◽  
Ant Colony Algorithm ◽  
Tool Path ◽  
Block Design ◽  
Ant Colony ◽  
Drilling Process ◽  
Machining Time ◽  
Evaporation Coefficient ◽  
Simple Block ◽  
Complex Block

Abstract The lower machining time is important characteristic in the drilling machining process. Drilling process costs will increase if the machining time is high. Therefore, the main objective of this research is to develop Ant Colony Algorithm (ACO) to reduce the machining time by obtain the optimal tool path length. By using this algorithm, it can minimize the tool path length and significantly decreasing the machining time of drilling process. Simulating in 3-dimensional drilling on ACO has been constructed to minimize the shortest path of the drilling process. There are two type of workpiece has been used, which is simple block with 10 holes and complex block design that has 154 holes. ACO algorithm has been developed in Matlab R2017b to determine the optimal parameters of ACO of tool path length in drilling. Besides, simulation also has been done to investigate the effect of ACO parameter which is weight of pheromone (α), weight of trail (β), evaporation coefficient (e), and number of iterations. As a result, by define the parameter of iteration number at 900, the optimum parameter of weight of pheromone (α) is 5, weight of trail (β) is 4 and evaporation coefficient (e) is 0.4. Based on these parameters, the minimal tool path length obtain for simple and complex model are 286.965 mm and 6770.9860 mm respectively. Then, the result of tool path length of ACO simulation has been compared with the Mastercam outcome. ACO achieves a total tool path length of 286.965 mm while Mastercam achieved 569.878 mm for simple block design. Meanwhile, for complex block design, ACO produces a total tool path length of 6770.9860 mm while Mastercam has generate 55828.9050 mm of tool path length. By comparing these two approaches, ACO and Mastercam, ACO has that the short total tool path length by 49.64% on simple block design and 87.87% for complex block design.

A Meta-Heuristic with Ant Colony Approach to Complex System

2010 ◽  
Vol 26-28 ◽  
pp. 1147-1150
Author(s):  
Zong Li Liu ◽  
Jie Cao ◽  
Zhan Ting Yuan
Keyword(s):  
Complex System ◽  
System Design ◽  
Ant Colony ◽  
Pareto Optimal ◽  
Ant Colony Optimisation ◽  
New Approach ◽  
Pareto Optimal Set ◽  
Simulation Results ◽  
Optimal Set ◽  
Complex System Design

This paper proposes a new approach to determining the complex system design for a product mix comprising complex hierarchies of subassembly and components. Pareto Ant Colony Optimisation as an especially effective meta-heuristic for solving the problem of complex system design was introduced in this paper. A Pareto Optimal Set of complex system in which only the non dominated solutions allow ants to deposit pheromones over the time and cost pheromone matrices after certain generation runs. Simulation results show that the model for complex system and the hybrid algorithms are effective to the design of complex system.

UGNX8.0 Multi-Axis Machining Technology in Impeller Design and Programming Simulation Processing Application

2012 ◽  
Vol 249-250 ◽  
pp. 189-192
Author(s):  
Yan Yan Chen ◽  
Xiao Lu Ma ◽  
Yong Zhang
Keyword(s):  
Manufacturing Industry ◽  
Tool Path ◽  
Air Flow ◽  
Solid Modeling ◽  
Nc Machining ◽  
Cnc Machining ◽  
Processing Technology ◽  
Flow Meter ◽  
Processing Application ◽  
Simulation Results

The impeller as the key components of power generating machine, its processing technology has been an important subject in the manufacturing industry. The air flow meter uses in the integral impeller modeling, programming and processing research. Apply UGNX8.0 to the integral impeller for solid modeling and NC machining tool path simulation. In the terms of CNC machining for the characteristic and difficulty, put forward in this paper based on the UGNX8.0simulation of NC machining program and steps, successful interference free tool path, and according to the simulation results, generate four axis NC machining procedure of NC.

scholarly journals RBF Interpolation Algorithm for FTS Tool Path Generation

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yahui Nie ◽  
Yinfei Du ◽  
Zhuo Xu ◽  
Zimiao Zhang ◽  
Yang Qi
Keyword(s):  
Manufacturing Industry ◽  
Tool Path ◽  
Single Point ◽  
Tool Path Generation ◽  
Diamond Turning ◽  
Path Generation ◽  
Interpolation Algorithm ◽  
Interpolation Accuracy ◽  
Freeform Optics ◽  
Simulation Results

Freeform optics are defined as nonrotational symmetric optical surfaces in the manufacturing industry. Freeform optics are extensively applied to many areas in order to improve system performance. Fast tool servo (FTS) assisting single-point diamond turning technology has high application prospects in freeform optics machining. This paper discusses the interpolation algorithm for tool path generation of FTS through the application of a radial basis function (RBF) algorithm. For this purpose, a positive definite RBF with compact support was employed as the interpolant. The existence is mathematically proven. Numerical simulations were performed to compare the performances of the RBF algorithm and commonly used algorithms for satisfying the requirements of existence, smoothness, and accuracy. Machining experiments were also conducted to validate the applicability of the algorithm. The simulation results showed that the RBF interpolation algorithm outperformed other algorithms in terms of smoothness. The RBF algorithm also provided the highest interpolation accuracy. Furthermore, the RBF interpolation algorithm exhibited the highest accuracy for error distribution, with large errors distributed mainly in transition areas. The machining results were also in general agreement with the simulation results although obvious practical errors were observed. Overall, RBF interpolation can provide higher accuracy and better smoothness in the tool path generation of FTS.

scholarly journals Development of Direction-Parallel Strategy for Shorting A Tool Path in The Triangular Pocket Machining

2019 ◽  
Vol 18 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Mochammad Chaeron ◽  
Budi Saputro Wahyuaji ◽  
Apriani Soepardi
Keyword(s):  
Path Length ◽  
Tool Path ◽  
Machining Efficiency ◽  
Machining Time ◽  
Pocket Machining ◽  
Direction Parallel ◽  
Numerical Examples ◽  
Tool Paths ◽  
Machining Strategy ◽  
Parallel Strategy

The machining strategy is one of the parameters which practically influences the time of the different manufacturing geometric forms. The machining time directly relates to the machining efficiency of the tool paths. In area milling machining, there are two main types of tool path strategies: a direction-parallel milling and contour-parallel milling. Then direction-parallel milling is simple compared with a contour-parallel strategy. This paper proposes a new model of the direction-parallel machining strategy for triangular pockets to reduce the tool path length. The authors develop an analytical model by appending additional the tool path segments to the basis tool path for cutting un-machined area or scallops, which remained along the boundary. To validate its results, the researchers have compared them to the existing model found in the literature. For illustrating the computation of this model, the study includes two numerical examples. The results show that the proposed analytic direction-parallel model can reduce the total length of machining. Thus, it can take a shorter time for milling machining.

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.

A Line and Arc Transition Tool Radius Compensation Algorithm for Convex Contour

2012 ◽  
Vol 542-543 ◽  
pp. 1167-1171
Author(s):  
Chun Wang ◽  
Sheng Lin ◽  
Quan Hai Peng
Keyword(s):  
High Speed ◽  
Tool Path ◽  
Cnc Machining ◽  
Work Piece ◽  
Sharp Corner ◽  
Machining Time ◽  
Tool Paths ◽  
Long Time ◽  
Tangent Direction ◽  
Radius Compensation

Tool radius compensation is necessary to CNC machining. However, B tool radius compensation leads to work piece burning at the sharp corner of convex contour because of the long time contacts between the work piece and tool, and C tool radius compensation frequently changes machining feed rate for its broken line tool path. This paper presents a novel tool radius compensation method suitable for high speed machining of convex contour, which have the advantages of both B and C tool radius compensation. It uses compound transition with line and arc between the adjacent blocks of CNC program. The offset tool paths of the adjacent blocks extend a small line segment respectively along their tangent direction, then insert an arc between the end points of the two extended line segments. The results of simulation and experiments show that the machining quality of the sharp corner of convex contour is improved and the machining time is shorter than C tool radius compensation.

scholarly journals Synthetic Genes for Artificial Ants. Diversity in Ant Colony Optimization Algorithms

2010 ◽  
Vol 5 (2) ◽  
pp. 216
Author(s):  
Sorin C. Negulescu ◽  
Ioan Dzitac ◽  
Alina E. Lascu
Keyword(s):  
Multiagent Systems ◽  
Specific Problem ◽  
State Of The Art ◽  
Ant Colony ◽  
Ant Colony Optimisation ◽  
Main Subject ◽  
Synthetic Genes ◽  
Artificial Ants ◽  
Simulation Results ◽  
Ant Colony Optimization Algorithms

Inspired from the fact that the real world ants from within a colony are not clones (although they may look alike, they are different from one another), in this paper, the authors are presenting an adapted ant colony optimisation (ACO) algorithm that incorporates methods and ideas from genetic algorithms (GA). Following the first (introductory) section of the paper is presented the history and the state of the art, beginning with the stigmergy and genetic concepts and ending with the latest ACO algorithm variants as multiagent systems (MAS). The rationale and the approach sections are aiming at presenting the problems with current stigmergy-based algorithms and at proposing a (possible - yet to be fully verified) solution to some of the problems ("synthetic genes" for artificial ants). A model used for validating the proposed solution is presented in the next section together with some preliminary simulation results. Some of the conclusions regarding the main subject of the paper (synthetic genes: agents within the MAS with different behaviours) that are closing the paper are: a) the convergence speed of the ACO algorithms can be improved using this approach; b) these "synthetic genes" can be easily implemented (as local variables or properties of the agents); c) the MAS is self-adapting to the specific problem that needs to be optimized.

Effect of Tool Path Strategies in Pocket Milling of Aluminium Epoxy

2014 ◽  
Vol 903 ◽  
pp. 15-20 ◽  
Author(s):  
Rusdi Mat Song ◽  
Safian Sharif ◽  
Ahmad Yasir Md Said ◽  
Mohd Tanwyn Mohd Khushairi
Keyword(s):  
Computer Aided Design ◽  
High Speed ◽  
Tool Path ◽  
High Speed Steel ◽  
Cutting Parameters ◽  
Cnc Machining ◽  
Numerical Control ◽  
Machining Time ◽  
Pocket Milling ◽  
Cad Cam

Selection of the most suitable tool path strategy is very essential during machining especially in computer aided design and manufacture (CAD/CAM) as well as computer numerical control (CNC) machining. Existence of various tool path strategies to be applied on advanced composite materials such as aluminium epoxy required extensive researches in determining the best combination of tool path and cutting parameters for better machinability performance. Pocket milling of aluminium epoxy specimen via CAD/CAM was conducted in this study to investigate the effect of three types of tool path strategies namely Inward Helical, Outward Helical and Back and Forth. Uncoated high speed steel (HSS-Co8) ball end mill was used throughout the experiments. The machining responses that were evaluated include machining time, tool wear rate, tool life and surface finish of the machined pockets. In general, the effect of tool path strategy was highly significant on the machining responses and results showed that Back and Forth strategy offered the best machinability results when compared to the other strategies.

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