Subtractive Processes: Machining

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Subtractive Processes: Machining 2.810 T. Gutowski Primitive tools to cut and scrape go back at least 150,000 yrs Machining tutorial: 5 axis machining of aluminum http://electron.mit.edu/~gsteele/mirrors/www.nmis.org/educationtraining/machineshop/mill/intro.html 1

Ancient Tools & Structures Stone work in Cuzco Peru - Sacsayhuaman 2

Modern Machining Practice 5 axis High speed Complex parts New Configurations 3

4

Why machining is still important Kalpakjian & Schmid 5

Why machining is still important machining Kalpakjian & Schmid 6

Compared to Additive Ref Lienke et al, U. Paderborn, Germany (DIN German Standard for part tolerance) 7

What prevents machining from being a fully digital technology? 1. Large cutting forces require Secure fixturing Robust tools & tool holders Limiting geometrical access Requiring repeated fixturing 8

Basic Mechanics Issues Shear strain Power, plastic work Friction, forces Temperature rise Heat, Tool materials, Rate limits 9

Basic Machining Mechanism Eugene Merchant s model for orthogonal cutting Video on plastic deformation in machining10

Basic Machining Mechanism Shear takes place in a narrow zone near the tool tip at angle f, the tool has rake angle a, the resulting shears is g From geometry, g= cot(f) + tan (f - a) g becomes large for small f small or negative a 11

Observation for Video 12

Basic Machining Mechanism Kalpakjian & Schmid 13

Basic Machining Mechanism Chip - t c Rake angle + a Tool V F c t 0 f Shear plane Shear angle Workpiece Friction? 14

Basic Machining Mechanism t 0 t c Chip Rake angle - + a Tool f Shear plane Shear angle Workpiece V If friction work u f is about 0.25 to 0.5 of u p (Ref Cook) Then specific cutting work (the total) u s is about 9/16 x Hardness H F c Approximate scaling: u s ~ H (Hardness) We will use tabulated values for specific energy See tables 21.2 for cutting and Table 26.2 for grinding 15

Cutting forces F c = cutting force N = normal force F = friction force R = resultant force F t = thrust force µ= friction coef b = friction angle 16

The Merchant Equation Ref. Groover 17

The Merchant Equation Ref. Groover 18

The Thrust Force Ref. Kalpakjian & Schmid 19

Specific energy, u S For comparison see Table 26.2 for grinding 20

Specific energy, u S Cutting Grinding For comparison see Table 26.2 for grinding 21

See Kalpakjian & Schmid Chapter 26: Abrasive Machining Surface Grinding 22

Approximations: Hence we have the approximation; Power u s X MRR MRR is the Material Removal Rate or d(vol)/dt Since Power is P = F c * V and MRR can be written as, d(vol)/dt = A * V Where A is the cross-sectional area of the undeformed chip, we can get an estimate for the cutting force as, F c u s A Note that this approximation is the cutting force in the cutting direction. 23

Basic Machining Processes Turning * Grinding V Grinding wheel D Grains v Workpiece Milling * Cutter Arbor Spindle Spindle End mill Shank Arbor Horizontal Slab milling Face milling End milling * Source: Kalpakjian, Manufacturing Engineering and Technology 24

Cutter Geometries End Mills Form Tool Face Mill 25

Cutting Force Directions in Milling F cn F p F c F p F cn F c F p F cn F c ~ H A c F c F p (Tangential Cutting Force ~ Chip Cross-section Hardness) F cn F c 26

Face Milling 27

Feed per Tooth and MRR W = rotational rate (rpm) Top view of face milling With 4 tooth cutter v (m/s) d w = width of cut (m) f = feed per tooth (m) Side view Consider the workpiece moving into the cutter at rate v. In travel time t the feed is v t. The time for one rotation is t = 1/W. The travel for one tooth is 1/4W. Hence the feed per tooth is f = v/4w. In general, a cutter may have N teeth, so the feed per tooth is The material removal rate (MRR) is, f = v / NW MRR = v w d = f d x wnw where d is the depth of the tool into the workpiece. Force f d u s 28

Ex) Face milling of Al Alloy v w N = 4 (number of teeth) D = 2 (cutter diameter) d w f=d Let w = 1 (width of cut), d=0.1 (depth of cut) f = 0.007 (feed per tooth), v s = 2500 ft/min (surface speed; depends on cutting tool material; here, we must have a coated tool such as TiN or PCD) The rotational rate for the spindle is W = v s / pd = 4775 rpm Now, we can calculate v w, workpiece velocity, f = v w / N W => v w = 134 [in/min] Material removal rate, MRR = v w *w*d = 13.4 [in 3 /min] Power requirement, P = u s *MRR = 5.36 [hp] Cutting force / tooth, F ~ u s *d*f = 111 [lbf] u s from Table 21.2 (20.2 ed 4); Note 1 [hp min/in 3 ] = 3.96*10 5 [psi] 29

30

Ex) Turning a stainless steel bar D=1 f d Recommended feed = 0.006 (Table 23.4 (22.4)) Recommended surface speed = 1000 ft/min W = 1000 ft/min = 3820 rpm p*1 * 1ft/12 Tool Let d = 0.1 Material removal rate, MRR = 0.1*0.006*(p*1*3820) = 7.2 [in 3 /min] Power requirement, P = u s *MRR = 1.9*7.2 = 13.7 [hp] Cutting force / tooth, F ~ u s *d*f = (1.9*3.96*10 5 )*(0.1*0.006) = 450 [lbf] u s from Table 21.2 (20.2 ed 4); Note 1 [hp min/in 3 ] = 3.96*10 5 [psi] 31

Consequences of large forces Secure fixturing Robust tools & tool holders Limiting geometrical access Requiring repeated fixturing Heat Rise, Cutting tool requirements 32

Temperature Rise in Cutting * Adiabatic Temperature Rise: r c DT = u S Note : u S ~ H, Hardness DT adiabatic ½ T melt (Al & Steel) Interface Temperature: DT = 0.4 (H / r c)(v f / a) 0.33 Typical temperature distribution in the cutting zone * Source: Kalpakjian, and Schmidt 5 th ed v = cutting speed f = feed a = thermal diffusivity of workpiece Note v f / a = Pé = convection/conduction * Reference: N. Cook, Material Removal Processes 33

Effect of temperature on Hardness 34

Tool Life Frederick Winslow Taylor -1856 to 1915 Tool life Scientific management Note C = V for T = 1 min. range for n is 0.08 to 0.7 See text Ch 21 35

Optimum cutting speed range 36

New Tooling Materials and their effect on Productivity 100 to 0.5 in 110 years ~ 5%/yr 37

Limits to MRR in Machining w w w w w Spindle Power for rigid, well supported parts Cutting Force may distort part, break delicate tools Vibration and Chatter lack of sufficient rigidity in the machine, workpiece and cutting tool may result in self-excited vibration Heat heat build-up may produce poor surface finish, excessive work hardening, welding ; can be reduced with cutting fluid Economics - tool changes See Video on Rate Limits In Machining 38

High speed Machining and Assembly High Speed Machined aluminum parts are replacing built-up parts made by forming and assembly (riveting) in the aerospace industry. The part below was machined on a 5-axis Makino (A77) at Boeing using a 8-15k rpm spindle speed, and a feed of 240 ipm vs 60 ipm conventional machining. This part replaces a build up of 25 parts. A similar example exists for the F/A-18 bulkhead (Boeing, St. Louis) going from 90 pieces (sheetmetal build-up) to 1 piece. High speed machining is able to cut walls to 0.020 (0.51mm) without distortion. Part can be fixtured using window frame type fixture. MRR = f d * N W w 39

High Speed Machining https://www.youtube.com/watch?v=3yzal29ag78 40

Machine tool configurations Machine tool number of axes, spindles, serial and parallel configurations Cutter geometry Form tool, cutter radius, inserts, tool changers Software flexibility, geometrical compensation, look ahead dynamics compensation 41

Various Machine Tool Configurations * Head Column Table Saddle Knee Base 42 * Source: Kalpakjian, Manufacturing Engineering and Technology

Various Machine Tool Configurations 43 * Source: Kalpakjian, Manufacturing Engineering and Technology

44

Some Machining Developments 5 Axis machining Diamond turning Micro-machining Fast tool server Cryogenic cooling 45

5 Axis Machining David Kim 46

5 axis machining demos http://www.youtube.com/watch?v=yu _RHiHudag&feature=related http://www.youtube.com/watch?v=0u 2xC60-oMI&NR=1 47

Diamond Turning Bob Donaldson? LLNL Optical surfaces (400-700nm) surface finish ~1nm, temp control ±0.01 F 48

Diamond Turning Empire Precision Davies et al 49

Micro machining Diamond turning & micro-milling 50

Micro machining 51

Micro Machines & Factories Micro machines Micro Factory developed at Mech Eng Lab AIST Japan 52

MS Thesis Thilo Grove Part available on Alibaba 53

Hexapod Milling Machines * Stewart Platform Linear actuator Tool Hexapod machining center (Ingersoll, USA) Schematics 54 * Source: http://macea.snu.ac.kr/eclipse/background/background.html

Institut für Werkzeugmaschinen und Fertigung Hexaglide from Zurich (ETH) www.iwf.mavt.ethz.ch/ 55

Fast Tool Servo http://web.mit.edu/pmc/www/index.html Ref D. Trumper 56

Rotary Fast Tool Servo Machine for Eyeglass Lenses D. Trumper & students 57

Tool at end of arm rotates about vertical axis 58

Asymmetric Turning Operation Spectacle lenses Contact lenses Human lens implants Elements for laser vision correction surgery Camera lenses Image train elements in semiconductor processing Camshafts Not-round pistons 59

Fast Tool Servo State of the Art Lu/Trumper Bandwidth 23 khz Stroke 30 µm RMS tracking error: 1.7 nm Peak acceleration: 500g 60

Diamond Turning Machine Cross Section 61

Satisloh http://www.satisloh.com/usa-canada/ophthalmic/generating/vft-orbit/ 62

Cryogenic Machining http://www.youtube.com/watch?v=gfoxbb7p2jc 63

Cryogenic Cutting Tools CYCLO CUT Brand Cryogen to the cutting edge Solid carbide end mills and drills Index end mills, face mills, turning and boring tools CHIP FLOW MAG Cryogenic Vented, Heat-sink application -321 F 64 64

Cryogenic Cutting Tools CYCLO CUT Brand Cryogen to the cutting edge Solid carbide end mills and drills Index end mills, face mills, turning and boring tools CHIP FLOW LN 2 through tool 77K (-321 F) $0.06/liter Claims: 30% - 50% higher feed rate (up to 2X) 60% tool life No cleaning of part Easy disposal 65 65

Historical Development of Machine Tools Henry Maudslay, and screw cutting lathe circa 1797 66

Early paper on cutting mechanics Prof Milt Shaw Prof Nate Cook M.I.T., LMP 67

NC machine tool developed at MIT mid 1950 s 68 * Source: Reintjes, Numerical Control 1991

69

Readings w w w Kalpakjian & Schmid Machining chapters are extensive: Ch 21-27 Design for Machining handout AM tolerances paper available but not required (i.e. Lienke et al U. Paderborn) 70