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Erschienen in:
Introduction to the Book Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

11. Systems Engineering for Machining

verfasst von : John P. T. Mo, Songlin Ding

Erschienen in: Systems Engineering in Research and Industrial Practice

Verlag: Springer International Publishing

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Abstract

Machining is the traditional product shaping process by removing materials from a block of original materials. Practically, the machining process itself has not changed much in the last couple of centuries but the accessories around the process have improved significantly, like data logging features in modern computer numerically controlled machines. The machining process is a system, the components of which should be considered as independent units which work harmonously with other systems in the enterprise. In this chapter a systems approach is adopted to examine methods and techniques that can improve five key performance indicators of the machining system, i.e. sustainability, accuracy, efficiency, precision and reliability. In particular, High Speed Machining, tool breakage prevention, thin wall deflection, tool geometry and chatter monitoring are studied in relation to the five performance indicators, respectively. Application of these techniques has produced good machining outcomes showing strategic development direction leading to better performance of the machining system.

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Vorheriges Kapitel Systematic Development of Product-Service Systems
Nächstes Kapitel Technology Nationalization in the Space Sector: The Brazilian Perspective
Literatur
1.
Astakhov VP (2017) Improving sustainability of machining operation as a system endeavor. In: Davim JP (ed) Sustainable machining. Springer International Publishing Switzerland, pp 1–30
2.
Altintas Y (2016) Virtual high performance machining. Procedia CIRP 46:372–378
3.
Zhang J, Ong SK, Nee AYC (2012) Design and development of an in situ machining simulation system using augmented reality technology. Procedia CIRP 3:185–190CrossRef
4.
King RI (1985) Handbook of high-speed machining technology. Chapman and Hall, New YorkCrossRef
5.
Ding SL, Mo J, Yang D (2010) HSM strategies of CAD/CAM systems—part I tool path generation. Key Eng Mater 426–427:520–524CrossRef
6.
Byrne G, Dornfeld D, Denkena B (2003) Advancing cutting technology. Ann CIRP 52(2):483–507CrossRef
7.
Dandekar CR, Shin YC, Barnes J (2010) Machinability improvement of titanium alloy (Ti–6Al–4V) via LAM and hybrid machining. Int J Mach Tools Manuf 50(2):174–182CrossRef
8.
Boyer R (2010) Attributes, characteristics, and applications of titanium and its alloys. JOM 62(5):21–24CrossRef
9.
Brinksmeier E, Lucca DA, Walter A (2004) Chemical aspects of machining processes. CIRP Ann 53(2):685–699
10.
Ezugwu EO, da Silva RB, Bonney J, Machado AR (2005) The effect of argon-enriched environment in high-speed machining of titanium alloy. Tribol Trans 48(1):18–23
11.
Tonshoff HK, Winkler J, Gey C (1999) Machining of light metals. Materialwissenschaft und Werkstofftechnik 30(7):401–417
12.
Ítalo Sette Antonialli A, Eduardo DA, Pederiva R (2010) Vibration analysis of cutting force in titanium alloy milling. Int J Mach Tools Manuf 50(1):65–74
13.
Marinac D (2000) Tool path strategies for high speed machining. Mod Mach Shop 72(9):104–110
14.
Haron CHC, Ginting A, Arshad H (2007) Performance of alloyed uncoated and CVD-coated carbide tools in dry milling of titanium alloy Ti-6242S. J Mater Process Technol 185:77–82
15.
Izamshah RAR, Mo JPT, Ding S (2011) Finite element analysis of machining thin-wall parts. J Key Eng Mater 458:283–288CrossRef
16.
Wan M, Zhang WH, Qin GH, Wang ZP (2008) Strategies for error prediction and error control in peripheral milling of thin-walled workpiece. Int J Mach Tools Manuf 48:1366–1374CrossRef
17.
Quintana G, Ciurana J (2011) Chatter in machining processes: a review. Int J Mach Tools Manuf 51(5):363–376CrossRef
18.
Urbanski JP, Koshy P, Dewes RC, Aspinwall DK (2000) High speed machining of moulds and dies for net shape manufacture. Mater Des 21:395–402CrossRef
19.
Field R, Beard T (1996) High speed machining of dies and molds. Modern Mach Shop 69(6):76–83
20.
Ding S, Mannan MA, Poo AN, Yang DCH, Han Z (2003) Adaptive iso-planar tool path generation for machining of free-form surfaces. Comput-Aided Des 35(2):141–153
21.
Ding SL, Mo JPT, Yang D (2010) HSM strategies of CAD/CAM systems—part II industry applications. Key Eng Mater 426–427:559–563CrossRef
22.
23.
24.
Bieterman M (2001) Curvilinear tool paths for pocket machining. Seminar on Industrial Problems, Institute for Mathematics and its Applications (IMA), University of Minnesota, 16 Mar 2001
25.
Ding S, Yang D, Han Z (2005) Boundary-conformed machining of turbine blades. Proc Inst Mech Eng Part B: J Eng Manuf 219(3):255–263CrossRef
26.
Fallböhmer P, Rodríguez CA, Özel T, Altan T (2000) High-speed machining of cast iron and alloy steels for die and mold manufacturing. J Mater Process Technol 98(1):104–115CrossRef
27.
Ezugwu EO, Wang ZM (1997) Titanium alloys and their machinability a review. J Mater Process Technol 68:262–274
28.
Nabhani F (2001) Machining of aerospace titanium alloys. Robot Comput Integr Manuf 17:99–106CrossRef
29.
Shivpuri R, Hua J, Mittall P, Srivastava AK (2002) Microstructure-mechanics interactions in modeling chip segmentation during titanium machining. CIRP Ann 51(1):71–74
30.
Budak E, Altintas Y (1994) Peripheral milling conditions for improved dimensional accuracy. Int J Mach Tools Manuf 34:907–918CrossRef
31.
Kline WA, DeVor RE, Shareef IA (1982) The prediction of surface accuracy in end milling, ASME. J Eng Ind 104:272–278CrossRef
32.
Elbestawi MA, Sagherian R (1991) Dynamics modelling for the prediction of surface errors in the milling of thin-walled sections. J Mater Process Technol 25:215–228CrossRef
33.
Sutherland JW, DeVor RE (1986) An improved method for cutting force and surface error prediction in flexile end milling system. ASME J Eng Ind 108:269–279CrossRef
34.
Tsai JS, Liao CL (1999) Finite element modelling of static surface errors in the peripheral milling of thin-walled workpiece. J Mater Process Technol 94:235–246CrossRef
35.
Ratchev S, Huang W, Liu S, Becker AA (2004) Milling error prediction and compensation in machining of low-rigidity parts. Int J Mach Tools Manuf 44:1629–1641CrossRef
36.
Izamshah RRA, Mo JPT, Ding S (2012) Hybrid deflection prediction on machining thin-wall monolithic aerospace components. J Eng Manuf 226(4):592–605
37.
Gradisek J, Kalveram M, Weinert K (2004) Mechanistic identification of specific force coefficients for a general end mill. Int J Mach Tools Manuf 44:401–414CrossRef
38.
Chen W, Xue J, Tang D, Chen H, Qu S (2009) Deformation prediction and error compensation in multilayer milling process for thin-walled parts. Int J Mach Tools Manuf 49:859–864CrossRef
39.
Wan M, Zhang WH, Tan G, Qin GH (2007) New cutting force modelling approach for flat end mill. Chin J Aeronaut 20:282–288CrossRef
40.
Bhaumik SK, Divakar C, Singh AK (1995) Machining Ti6Al4V alloy with a wBN-cBN composite tool. Mater Des 16(4):221–226CrossRef
41.
Sreejith PS, Krishnamurthy R, Malhotra SK (2000) Evaluation of PCD tool performance during machining of carbon/phenolic ablative composites. J Mater Process Technol 104(1):53–58CrossRef
42.
Liang L, Liu X, Li X, Li YY (2015) Wear mechanisms of WC–10Ni3Al carbide tool in dry turning of Ti6Al4V. Int J Refract Metal Hard Mater 48:272–285CrossRef
43.
Gradišek J, Kalveram M, Insperger T et al (2005) On stability prediction for milling. Int J Mach Tools Manuf 45(7–8):769–781CrossRef
44.
Ding Y, Zhu L, Zhang X et al (2010) A full-discretization method for prediction of milling stability. Int J Mach Tools Manuf 50(5):502–509CrossRef
45.
Totis G (2009) RCPM-A new method for robust chatter prediction in milling. Int J Mach Tools Manuf 49(3–4):273–284CrossRef
46.
Quintana G, Ciurana J, Ferrer I et al (2009) Sound mapping for identification of stability lobe diagrams in milling processes. Int J Mach Tools Manuf 49(3–4):203–211CrossRef
47.
Grabec I, Gradišek J, Govekar E (1999) A new method for chatter detection in turning. CIRP Ann Manuf Technol 48(1):29–32CrossRef
48.
Stephenson DA, Agapiou JS (2006) Metal cutting theory and practice. CRC Taylor & Francis
49.
Wan M, Wang Y-T, Zhang W-H, Yang Y, Dang J-W (2011) Prediction of chatter stability for multiple-delay milling system under different cutting force models. Int J Mach Tools Manuf 51(4):281–295CrossRef
50.
51.
Rusinek R, Warminski J (2009) Attractor reconstruction of self-excited mechanical systems. Chaos Solitons Fractals 40(1):172–182CrossRef
52.
Kautz R (2011) Chaos: the science of predictable random motion. Oxford University Press, New York. ISBN 978-0-19-959457-3
53.
Wu CL, Chau KW (2010) Data-driven models for monthly streamflow time series prediction. Eng Appl Artif Intell 23(8):1350–1367CrossRef
54.
Shang P, Na X, Kamae S (2009) Chaotic analysis of time series in the sediment transport phenomenon. Chaos Solitons Fractals 41(1):368–379CrossRef
55.
Kodba S, Perc M, Marhl M (2005) Detecting chaos from a time series. Eur J Phys 26(1):205CrossRef
Metadaten
Titel
Systems Engineering for Machining
verfasst von
John P. T. Mo
Songlin Ding
Copyright-Jahr
2019
Buch
Systems Engineering in Research and Industrial Practice

Print ISBN: 978-3-030-33311-9

Electronic ISBN: 978-3-030-33312-6

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-33312-6_11