Micro Planning And CNC ProgrammingFor Cylindrical Part In AMPPS
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This document discusses microplanning and CNC programming for cylindrical parts in an Automated Modular Process Planning System (AMPPS). It presents decision rules for sequencing machining operations based on part features. The system generates a process plan that sequences operations and calculates tool travel and machining time. It then generates a CNC program based on the process plan. As a case study, it applies the AMPPS to a "Thread Pin" part, generating its process plan and sample CNC code. The system allows consistent decision making and reduces process planning and programming time.
![Mechanical Engineering: An International Journal ( MEIJ), Vol. 1, No. 3, November 2014
17
N0050 G01Z-16.00 EOB
N0060 G00X5.00Z16.00 EOB
N0070 G01X-6.50F0.26S1012.80 EOB
N0080 G01Z-16.00 EOB
N0090 G00X6.50Z16.00 EOB
N0100 G01X-8.00F0.26S1172.72 EOB
N0110 G01Z-16.00 EOB
N0120 G00X8.00Z16.00 EOB
N0130 G01X-9.50F0.26S1392.61 EOB
N0140 G01Z-16.00 EOB
N0150 G00X9.50Z16.00 EOB
N0160 G01X-10.50F0.20S1713.98 EOB
N0170 G01Z-16.00 EOB
N0180 G00X10.50Z16.00 EOB
N0190 G01X-11.00F0.14S2025.61 EOB
N0200 G01Z-16.00 EOB
N0210 G00X11.00Z16.00 EOB
N0220 G01X-2.50F0.14S891.27 EOB
N0230 G01Z-131.00 EOB
N0240 G00X2.50Z131.00 EOB
N0250 G01X-2.50F0.14S891.27 EOB
N0260 G01Z-131.00 EOB
N0270 G00X2.50Z131.00 EOB
N0280 M02EOB
6. Conclusions
In microplanning knowledge based approach is widely used. It is so because it incorporatesall
human skills, large amount of qualitative knowledge, and search procedure required to take
various decisions in the form of decisions rules. The consistency in the decision can be
maintained due to same decision rules used irrespective of complications in the part geometry.
Moreover database approach is found more appropriate. It uses standard data relevant to specific
machine and particular operation.
Manufacturing industries are combining material processing, material handling and part
positioning system in to a single integrated manufacturing cell to offer flexibility, better quality
and improved productivity. Process planning and part programming time directly affect the
economic lot size. Automated process planning system can significantly enhance the throughput
of such integrated cells and lower the economic lot size dramatically.
REFERENCES
[1] Kenneth Castelino, (2004), “AMPS – An automated modular process planning system” ASME,
Journal of computing and information science in engineering, vol.04, pp235-241.
[2] Vijay Arora (1997) fixcapp “A fixture integrated computer aided process planning methodology. 17th
AIMTDR conference 9-11 January 1997 R.E.C. Warangal, pp149-154.
[3] HMT “Production Technology”Revised edition , pp34,143.
[4] Zhenkai Liu (2007) “Sequencing of interacting prismatic machining features for process planning”
Computers in Industry-58 pp295-303.
[5] Ali Oral (2004) “Automated cutting tool selection and cutting tool sequence Optimization for
rotational part” Robotics and Computer- Integrated Manufacturing” Robotics and computer integrated
manufacturing 20 , pp127-141.](https://image.slidesharecdn.com/1314meij02-230118022927-59ee2ccf/85/Micro-Planning-And-CNC-ProgrammingFor-Cylindrical-Part-In-AMPPS-5-320.jpg)
![Mechanical Engineering: An International Journal ( MEIJ), Vol. 1, No. 3, November 2014
18
[6] Mojtaba Salehi (2009) “Application of genetic algorithm to computer-aided process planning in
preliminary and detailed planning” Engineering Applications of artificial Intelligence 22 pp1179-
1187.
[7] Yuan-Jye Tseng(1999) “A modular modeling approach by integrating feature recognition and feature-
based design” Computers in Industry-39 pp113-125.
[8] Yuguang Wu (2008) “ Automated modular fixture planning based on linkage mechanism
theory”Robotics and computer integrated manufacturing 24 , pp38-49.
[9] John M. Usher (2009) “Object Oriented approach to feature-based process planning”, Design and
implementation of intelligent manufacturing systems, pp275-300.
[10] Jian (John) Dong (2009) “ Intelligent feature extraction for concurrent design and manufacturing”
Design and implementation of intelligent manufacturing systems, pp301-323.
[11] Zhang Wei Bo (2006) “Optimization of process route by Genetic Algorithms” Robotics and computer
integrated manufacturing 22, pp180-188.](https://image.slidesharecdn.com/1314meij02-230118022927-59ee2ccf/85/Micro-Planning-And-CNC-ProgrammingFor-Cylindrical-Part-In-AMPPS-6-320.jpg)
Micro Planning And CNC ProgrammingFor Cylindrical Part In AMPPS
- 1. Mechanical Engineering: An International Journal ( MEIJ), Vol. 1, No. 3, November 2014 13 Micro Planning And CNC Programming For Cylindrical Part In AMPPS Shinde B.M. 1 and Dr. Khodke P.M.2 1 Department of Mechanical Engineering DCOER, Pune-41 2 Principal GCOE Karad Abstract The decision on sequencing of operations, tool travel and machining time calculations is done in microplanning. After a set of processes has been selected for all the features of part, the sequencing task begins by searching and analysing relationship between features. This is done by rule to detect geometrical interactions and the appropriate precedence relationship in knowledge base. For deciding sequence of operations precedence relationship among the different operations is developed using decision rules. CNC program is generated based on the process plan of a given component. The generated CNC program is then validated by simulation software before giving it to CNC machine. Keywords Micro planning, Automated modular process planning, Generative process planning, Computer aided design, 1. Introduction Micro planning deals with decision on sequencing of operations, calculations of tool travel and machining time. As a part may contain many features, a proper sequence for machining these features is vital in achieving efficient and high quality manufacturing of the part. Operation sequencing deals with the problem of determining in what order to perform a set of selected operations such that the resulting sequence satisfies the precedence constraints established by both parts and operation. The objective of process sequencing is to minimise the total time to produce a part. CNC machine tools require a set of commands in order to carry out desired machining operation. The job of creating this set of commands is known as programming. Programming is the process of coding machining conditions such as machining dimensions with reference points. These dimensions are derived by correctly allocating the X and Z axis. The machine tool may have facility of both manual part programming as well as programming using CNC programming languages such as APT, ADAPT, COMPAPT etc. 2. Micro planning and CNC programming System A modular program is developed for each of the function in Visual Basic having connectivity between them. Visual Basic has been selected as a programming language as it has compatibility with Auto-CAD and it is more users friendly. An output of each step is taken as an input for
- 2. Mechanical Engineering: An International Journal ( MEIJ), Vol. 1, No. 3, November 2014 14 subsequent step. A structure as shown in fig.1 facilitates accurate transfer of data corresponding to each feature from one step to other step. Each of the step is described in subsequent sections. Fig.1 A structure of Micro planning and CNC programming 3. Decision rules for sequencing of operation 1. The operation are selected according to feature having largest diameter first and then descending further in order of size from left to right, till smallest diameter is obtained. 2. Internal operations are considered only after external operations are completed. 3. The stock size is always taken greater than the finished size of workpiece. 4. The first operation in rotational component is always facing of extreme right face because face is considered as a reference for obtaining geometry of other features. 5. As the stock size selected is greater than the finished size of workpiece the second operation is always turning so as to obtain diameter of largest feature of a part on a cylindrical surface. 6. All plain turning (step turning) operations are completed first by converting every feature into a cylindrical surface. 7. All taper turning operation comes after step turning operation (sr.no.6). Taper turning operations are performed from right to left. 8. Finish cut operations of all cylinder, taper, recess and arc features are done before external threading, drilling, and internal threading. 9. External threading operation comes in the sequence after completion of finish turning operation. 10. For internal operations first operation considered is a drilling and then boring. 11. If the hole size does not match with standard drill size, then boring operation is done after drilling. Generate Process Plan Micro Planning End Decide the sequence of operation Calculate machining Time Calculate tool travel Generate CNC program Machining CNC Programming Start
- 3. Mechanical Engineering: An International Journal ( MEIJ), Vol. 1, No. 3, November 2014 15 12. Internal threading operation is performed only when required size of hole equal to major diameter is produced. 13. The last operation is always chamfering. The built-in rules, as given above, are formulated on the basis of general machining principles and are used to define precedence relations among the features. The approach for operation selection is based on knowledge, the possible operation for each feature is determined heuristically. The program starts with selecting the features as per designed rule and then selecting possible operations for that feature. For example the hole feature can be done by two possibilities i.e. drilling, finish boring or drilling, rough boring, and finish boring. The 9 features and possible operation are described in the fig.2. Fig.2 Feature-Operation Hierarchy 4. Generation of CNC Codes The process plan developed for the given component using as input. The process plan is then used for generation of CNC codes. However, the process plan file is required to be imported again for identification of operation, tool travel and cutting parameters. It may be remembered here that if the operating system used for generation of process plan is different to the one used for part programming, the process plan file can not be imported. Under the circumstances, interfacing is
- 4. Mechanical Engineering: An International Journal ( MEIJ), Vol. 1, No. 3, November 2014 16 required to make import process platform independent. Therefore a separate program is developed in VB6 for importing the process plan file. 5. Case Study The AMPPS is applied to part, called ‘Thread Pin’ used in dairy equipment. The part drawing is shown in fig.3 Fig.3 ‘Thread Pin’ drawn in Auto-CAD Micro Planning The process plan generated for ‘Thread Pin’ is as shown in fig.4 Fig.4 Process plan for “Thread Pin” CNC Program The output of AMPPS _CNC programming for thread pin is as given below. N0010 G01X-3.50F0.26S795.78 EOB N0020 G01Z-131.00 EOB N0030 G00X3.50Z131.00 EOB N0040 G01X-5.00F0.26S891.27 EOB
- 5. Mechanical Engineering: An International Journal ( MEIJ), Vol. 1, No. 3, November 2014 17 N0050 G01Z-16.00 EOB N0060 G00X5.00Z16.00 EOB N0070 G01X-6.50F0.26S1012.80 EOB N0080 G01Z-16.00 EOB N0090 G00X6.50Z16.00 EOB N0100 G01X-8.00F0.26S1172.72 EOB N0110 G01Z-16.00 EOB N0120 G00X8.00Z16.00 EOB N0130 G01X-9.50F0.26S1392.61 EOB N0140 G01Z-16.00 EOB N0150 G00X9.50Z16.00 EOB N0160 G01X-10.50F0.20S1713.98 EOB N0170 G01Z-16.00 EOB N0180 G00X10.50Z16.00 EOB N0190 G01X-11.00F0.14S2025.61 EOB N0200 G01Z-16.00 EOB N0210 G00X11.00Z16.00 EOB N0220 G01X-2.50F0.14S891.27 EOB N0230 G01Z-131.00 EOB N0240 G00X2.50Z131.00 EOB N0250 G01X-2.50F0.14S891.27 EOB N0260 G01Z-131.00 EOB N0270 G00X2.50Z131.00 EOB N0280 M02EOB 6. Conclusions In microplanning knowledge based approach is widely used. It is so because it incorporatesall human skills, large amount of qualitative knowledge, and search procedure required to take various decisions in the form of decisions rules. The consistency in the decision can be maintained due to same decision rules used irrespective of complications in the part geometry. Moreover database approach is found more appropriate. It uses standard data relevant to specific machine and particular operation. Manufacturing industries are combining material processing, material handling and part positioning system in to a single integrated manufacturing cell to offer flexibility, better quality and improved productivity. Process planning and part programming time directly affect the economic lot size. Automated process planning system can significantly enhance the throughput of such integrated cells and lower the economic lot size dramatically. REFERENCES [1] Kenneth Castelino, (2004), “AMPS – An automated modular process planning system” ASME, Journal of computing and information science in engineering, vol.04, pp235-241. [2] Vijay Arora (1997) fixcapp “A fixture integrated computer aided process planning methodology. 17th AIMTDR conference 9-11 January 1997 R.E.C. Warangal, pp149-154. [3] HMT “Production Technology”Revised edition , pp34,143. [4] Zhenkai Liu (2007) “Sequencing of interacting prismatic machining features for process planning” Computers in Industry-58 pp295-303. [5] Ali Oral (2004) “Automated cutting tool selection and cutting tool sequence Optimization for rotational part” Robotics and Computer- Integrated Manufacturing” Robotics and computer integrated manufacturing 20 , pp127-141.
- 6. Mechanical Engineering: An International Journal ( MEIJ), Vol. 1, No. 3, November 2014 18 [6] Mojtaba Salehi (2009) “Application of genetic algorithm to computer-aided process planning in preliminary and detailed planning” Engineering Applications of artificial Intelligence 22 pp1179- 1187. [7] Yuan-Jye Tseng(1999) “A modular modeling approach by integrating feature recognition and feature- based design” Computers in Industry-39 pp113-125. [8] Yuguang Wu (2008) “ Automated modular fixture planning based on linkage mechanism theory”Robotics and computer integrated manufacturing 24 , pp38-49. [9] John M. Usher (2009) “Object Oriented approach to feature-based process planning”, Design and implementation of intelligent manufacturing systems, pp275-300. [10] Jian (John) Dong (2009) “ Intelligent feature extraction for concurrent design and manufacturing” Design and implementation of intelligent manufacturing systems, pp301-323. [11] Zhang Wei Bo (2006) “Optimization of process route by Genetic Algorithms” Robotics and computer integrated manufacturing 22, pp180-188.