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Zig-Zag Tool Path Generation for Sculptured Surface Finishing


Zig-Zag Tool Path Generation for Sculptured Surface Finishing
Debananda Misra
?

V.Sundararajan

?

Paul K. Wright

?

{deb,vsundar

,pwright}@me.berkeley.edu

Abstract Sculptured surfaces are relatively di?cult to machine due to their complex geometry. Sculptured surface machining primarily has two stages, the ?rst being roughing and the other being ?nishing. The current work focuses on generating tool paths for the ?nishing operation. Given any arbitrary sculptured surface, G&M machine codes have been generated to machine that surface using ball-end milling cutters on a 3-axis CNC machine. Tool path planning has been done on the o?set surface. Iso-planar zig-zag toolpaths, due to their robustness and simplicity, have been generated. The generated tool paths comply to a certain tolerance and surface ?nish speci?ed on the surface. Tool holder collision detection has been done to help select the appropriate tool. The input is a solid model of the surface in .SAT format while the output is a text ?le containing the machine code. Examples are presented to validate the algorithm.

Keywords: Sculptured Surface, Inverse Tool O?set, Feed-forward Marching, Tool Holder Collision

1

Introduction

Sculptured surfaces are extensively used in designing complex parts such as automobile bodies, turbine blades and packages for electronic hand-held devices. Broadly, sculptured surface machining is done in two stages, 1. roughing and 2. ?nishing. The majority of the material is removed in the roughing stage using larger tool(s) while the left over material is removed in the ?nishing stage. Typically, ?at end milling cutters are used for roughing operations (Chan et al. 2003; Hwang and Chang 1998; Lee et al. 1994) while ball end milling cutters are used for ?nishing operations. Due to the inherent nature of the motion of the tool, tool paths are always a series of straight lines/arcs whereas the actual sculptured surface is a surface of varying slope and curvature. Thus, the sculptured surface is approximated by a series of straight lines and arcs for machining, and the machining goal is to get as close as possible to the design surface. The current commercially available CAD/CAM systems for generating cutter location(CL) data for machining of such sculptured surfaces require some important human decisions,
? GE

Global Research Center, Bangalore, India of Mechanical Engineering, University of California, Berkeley, CA, USA ? Department of Mechanical Engineering, University of California, Berkeley, CA, USA
? Department

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such as determination of the precise interval between successive toolpaths. After the cutter location(CL) data are generated, post processing is done to get machine executable codes for actual production. A tool path interval that is too large can result in a rough surface while one that is too small can increase the machining time, making the process ine?cient. Due to the complex geometry of the surface, tool body and tool holder interference with the surface pose many constraints on tool path generation. Smaller tool lengths and the vertical motion of the tool might make some regions inaccessible in the case of 3-axis CNC machining. The current work is aimed at providing a systematic approach to tool path generation of sculptured surfaces using 3-axis CNC machines. Tool paths have been generated for ?nishing operation only. Tool paths for the roughing stage are assumed to have been previously generated while a set of cutter location points are planned on the o?set surface. Importance is given in generating cutter location points that will meet the tolerance requirement while maintaining a certain surface ?nish. The layout of the paper is as follows: Sec. 2 reviews previous approaches to the same problem. Sec. 3 lists some of the de?nitions and notations used while Sec. 4 gives an overview of the some of the standard tool path generation methods. Sec. 5 describes the o?set generation method employed, followed by a section describing the tool path generation scheme in the current approach. Sec. 7 presents the tool holder collision detection algorithm. Sec. 8 and 9 show the resulting implementation of the algorithm with some example of machined parts.

2

Previous Work

In one of the earliest methods of machining sculptured surfaces, Sata et al. (1981) chose small incremental iso-parametric curves as the tool paths. However, the non-uniform relationship between the parametric coordinates and the corresponding physical coordinate made tool path planning di?cult. Huang et al. (1992) and Li and Jerard (1992) thus proposed an algorithm that generated tool paths based on the nonconstant parameter tool contact curves. At about the same time, Suh and Lee (1990) and Hwang (1992) presented methods to determine the tool paths by calculating, at each path, the smallest tool path interval and using it as a constant o?set in the next tool path. However, there still remained a unpredictable scallop height in the part surface, which caused either surface roughness or ine?cient machining. A tool path strategy that kept the scallop height constant was thus presented by Suresh and Yang (1994). Their work led to a reduction of cutter location data; however reduction of cutter location data may not guarantee a proportional shortening in machining time. Feng et al. (2002) also presented an approach for constant scallop height tool path generation. Sarma and Dutta (1997) proposed a method to generate tool paths within any speci?ed distribution of scallop heights on the manufactured surface. Tool paths were generated as o?sets of an initial curve on the design surface. Choi et al. (1997) generated tool paths using a con?guration space (C-Space) approach. The geometric data describing the design surface and stock surface were transformed

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to the C-Space elements. Sarma (1999) developed an algorithm to pick the direction of minimum number of switch-backs for a zig-zag path on a polygon. This lead to reduction in machining time of planar surfaces. An o?set parametric CNC tool path planning was developed by Kim and Kim (1995) . Their idea was to ?rst obtain an o?set surface of a desired part surface and then obtain toolpaths on the o?set parametric plane. Bi-cubic surface patch and surface sub-division were used to generate the o?set surface accurately. A new tool path scheduling method to improve the accuracy and e?ciency of 3-axis surface machining was presented by Chih and Lin (2001). In their approach, the compromise between the e?ciencies in the feed-forward segmentation and the path-interval segmentation was based on the selection of scallop height limit. The proposed method included compensation for the tool location to control the surface error and the segmentation e?ciency. To the present authors’ knowledge, none of the above approaches proposed solutions for tool holder collision detection. This detection is a contribution of this paper.

3

Basic De?nitions and Notations Used

Below are some of the basic de?nitions and notations that are being followed through the rest of the paper.

Term CC-Point CL-Point Feed-forward Distance Side-step Distance Feed-forward error Scallop Height

De?nition Point where tool touches the design surface Tool center location Distance the tool travels in a single continuous tool motion Distance between two consecutive parallel tool paths Deviation of the tool path from the actual design surface Height of material left between two consecutive passes of the tool

Notation Used Ci Li δcc : along CC-points δcl : along CL-points
cc cl

: along CC-points : along CL-points

τ h

Table 1: Basic De?nitions

4

Tool Path Generation Methods

The main objective of tool path generation (TPG) is to compute a sequence of cutter location points (CLpoints) from the design surface. Various investigators (Choi and Jerrard 1998; Kim and Choi 2000; Sarma and Dutta 1997) have given a detailed description and classi?cation of various tool path generation methods. Tool-path generation methods are classi?ed as either the CC-based method or the CL-based method depending on the type of tool path generation surface. 3

4.1

CC-Based Method

In the Cutter Contact(CC)-based method, tool paths are generated by sampling a sequence of CC-points from the part surface and then each CC-point is converted to a cutter location(CL)-point. Tool path generation is done on the design surface. In general this method can be classi?ed in to 3 main categories as (1) parametric method ; (2) drive surface method ; (3) guide plane method depending on the path planning techniques. These are often called as the “conventional” tool path generation methods. ? Parametric Method computes the tool paths (Figure 1(a)) in the parametric domain and then maps it back to the design/part surface. Iso-parametric machining, one of the earliest techniques (Sata et al., 1981), involves machining along iso-parameter lines. Uniformly spaced parametric lines in the parametric domain are non-uniformly spaced on the part surface due to non-uniform transformation between Parametric and Euclidean spaces. This results in varying scallop height and thus non-uniform surface ?nish. ? Drive Surface Method computes toolpaths (Figure 1(b)) by intersecting the design surface with a series of planes called drive surfaces. The curves generated by intersection are then used to generate accurate tool paths. If the intersecting planes are parallel then its known as iso-planar machining. However, the orientation of the intersecting plane can be changed to achieve optimal conditions of machining. This method is very robust and can handle complex surfaces reliably. ? Guide Plane Method plans the tool paths (either in the form of straight line or contours) ?rst on a 2D plane and then maps it back (Figure 1(c)) to the design surface. For 3-axis milling, the plane perpendicular to the tool axis is mainly used as the guide plane. The major strength of this method is that the shape of the region to be cut on the part surface can be considered during planning the tool path layout on the guide plane.

4.2

CL-Based Method

In the Cutter Location(CL)-based method the CL-surface is used as a path generation surface. In this approach, the CL surface has to be ?rst generated from the design surface. Surface ?nish criteria are met on the CL surface. In most of the previous work in this area (Kim and Kim 1995; Choi et al. 1997), the o?set surface was approximated as the CL-surface. CL-based methods have been employed in the current work. The o?set surface is ?rst generated from the design surface and tool paths are planned on the o?set surface. Zig-zag tool paths, parallel to each other, are planned according to the machining parameters.

5

O?set Surface Generation

The tool path generation strategy adopted in this paper is based on the o?set of the design surface. Thus, the ?nal surface ?nish is greatly a?ected by the accuracy of the o?set surface. O?set surface generation has 4

Design Surface CC?point

Design Surface Toolpaths

Drive Surface

Toolpaths

CC?point

CC?points

Guide Plane

Parametric Plane
1

Design Surface Toolpaths

v

u

1

(a) Parametric Method

(b) Drive Surface Method

(c) Guide Plane Method

Figure 1: CC-Based Tool Path Generation Methods [based on refs. (Sarma and Dutta 1997; Choi and Jerrard 1998; Kim and Choi 2000)] been done in two steps which are described below.

5.1

Discretization of the surface

Discretization of the surface involves sampling the design surface with a certain resolution and storing the z co-ordinate values associated with the sampled (x, y) co-ordinates. Since the surface is one of varying slope and curvature, it is desired to get denser points at steep regions than in ?at regions. In order to do this, surface-plane intersection has been done to get the initial curves on the surface. The intersecting planes have been chosen to be vertical and parallel to each other. The intersecting curves have been sampled at constant arc length to the get the (x, y, z) coordinates of the discretized points. The smaller the arc length, the ?ner are the points obtained on the surface. Figure 2(a) shows a design surface while Figure 2(b) shows the top view of its discretized model. The dark areas in the ?gure correspond to steep regions and the light areas correspond to ?at regions on the surface.

5.2

Inverse Tool O?set

The Inverse Tool O?set (ITO) algorithm (Choi and Jerrard 1998; Takeuchi et al. 1989; Kondo et al. 1988) has been used to generate the o?set surface. The algorithm states that the o?set surface can be obtained by taking the envelope of the inverse of the tool in the z-direction, with the center of the inverted tool moving on the design surface (Figure 3). The discretization methodology adopted in this paper helps in getting accurate results for the ITO algorithm. For every discretized point on the design surface, the ITO algorithm gives

a tool center location so that the tool is tangent to the surface. The algorithm works by considering all

5

(a) Design Surface

(b) Top view of the Discretized Surface

Figure 2: Surface Discretization using constant arc length method
Straight Tool Offset Surface Design Surface

r
Tool Radius (r)

r

Inverse Tool

Figure 3: Inverse Tool O?set Algorithm potential tool body collision points for each discretized point on the surface. The main advantage of the algorithm lies in generating gouge free o?set points (Choi et al. 1997).

6

Tool Path Generation Strategy

In this paper zig-zag toolpaths have been generated for the ?nishing operation. In the case of the zig-zag tool paths it is desired that the tool moves in a straight line in the feed-forward direction. Planning tool motion on the design surface guarantees straight line motion of the tool contact point, but the tool center may not move in a straight line. On the other hand, tool path planning on the o?set surface ensures straight line motion of the tool center. Hence, in the current approach, CL points have been directly planned on the o?set surface generated through the ITO. Depending on the direction of motion of the tool, tool motion can be divided into two categories.

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1. Feed-forward Marching 2. Side-step Marching O?set surface generation, described in the previous section, gives a list of o?set points (Ok ) for a list of points on the design surface (Dk ). The o?set points however do not meet the criterion of feed-forward or side-step marching. Hence, the objective is to ?nd intermediate CC-points (Ck ) on the surface and the corresponding o?set points, which will be the required CL-points (Lk ), that will meet the machining criterion of speci?ed design-tolerance.

6.1

Feed-forward Marching

Most of the cutting operation is done in the feed-forward direction. The tool moves in straight line between two successive CC-points. The deviation of the tool path from the actual surface de?nes the error (Figure 4(a)) in the feed-forward direction. The maximum error produced should be less then the design tolerance. The feed-forward distance that meets that tolerance requirement is given by equation 1 (chapter V of Choi and Jerrard (1998)). δcl = 2[2τ (r + ρf ) ? τ 2 ] 2 δcl r ρf := := := Distance between two consecutive CL-points in the feed-forward direction Tool Radius Curvature at the CC-point in feed-forward direction
1

(1)

Figure 4(b) shows the variation of feed-forward distance with change in tolerance for two di?erent tools. The curvature has been kept the same for both cases. As can be seen from the graph, a lower limit on error will demand a smaller feed-forward distance and thus more number of CL-points while a higher tolerance will give less number of CL-points. Also, for a given feed-forward distance a tool of higher radius will give less error then a tool of smaller radius. The following lines summarize the steps followed for feed-forward marching. ALGORITHM - 1 ? Start current pass of the tool – i, k = 0. Here, CL-point(L0 ) = O?set point(O0 ). – For a CL-point (Li ) calculate the feed-forward distance(δcli ). – Get the distance(dk ) of the next o?set point(Ok ) from Li along the current pass in the feed-forward direction. – Increment k till dk < δcli < dk+1 . – Linearly interpolate between Ok and Ok+1 to get an intermediate o?set point(Ointm ). O?set corresponding point (Cintm ) on the design surface vertically below it to get the next CL-point (Li+1 ). – increment i. 7

? end current pass

L1

δ cl
r
C1

L2

L3

r

δ cc
ρ
f

τ

r
C3

C2

(a) Error in feed-forward direction

(b) Plot of Feed-forward Distance Vs Error

Figure 4: Feed-forward Marching

6.2

Side-step Marching

Side-step marching is the motion of the tool in a direction orthogonal to the feed-forward direction. Referring to Figure 5(a),
cl ×cos(θ)

is the path interval where

cl

is given by equation 2 (chapter V of Choi and Jerrard

(1998)). The maximum path interval at a CL-point is limited by the cusp height speci?ed on the surface. After the CL-points for a single pass have been obtained by feed-forward marching, the minimum path interval of all those CL-points has been taken as the path interval for that speci?c pass. This ensures that the cusp height stays within the speci?ed limit at all points on the surface.
cl

=

4(r + ρs )2 (ρs + h)2 ? [ρ2 + 2ρs r + (ρs + h)2 ]2 s |ρs + h|

(2)

Figure 5(b) shows the variation of side-step distance with cusp height for two di?erent tool radius. Again,
cl

:= := :=

Distance between two consecutive parallel tool paths along the CL-points Tool Radius Curvature at the CC-point in side-step direction

r ρs

the curvature has been kept the same for both cases. It can be seen from the graph that for a given side-step distance and curvature, a tool of larger radius will generate cusps of smaller height and thus will achieve better surface ?nish. The following steps summarize the method to obtain the path interval for a particular pass. ALGORITHM - 2 8

? Start current pass of the tool – For every CL-point(Li ) calculate the side step distance (
cli ).

– Obtain the neighboring o?set points in the feed-forward direction on the next pass on the o?set surface in the side-step direction. – Interpolate between the neighboring points to obtain the parallel o?set point to Li in the side-step direction. Compare this with Li to get the slope(θi ). – Calculate
cli

× cos(θi ) to get the path interval. increment i.

? end current pass. ? Find the minimum path interval of all the CL-points.

θ
L1

ε cl
r h

L2

r
C1

ε cc
ρs

C2

(a) Cusp height in side-step direction

(b) Plot of Side-step Distance Vs Cusp Height

Figure 5: Side-step Marching

7

Tool Selection and Tool Holder Collision Detection

Tool selection is done based on the accessibility of the tool to all regions of the surface. The minimum curvature(ρmin ) of all the discretized points on the surface is obtained. The tool with radius r, less the ρmin has been selected for machining operation. Tools of small diameter are used for the ?nishing operation. Typically, tools of smaller diameter are smaller in length. Hence, in some cases even if the radius of the tool is bigger than the largest curvature of the surface at the point, the tool cannot enter into the region because of smaller tool body length. This is due to the tool holder which collides with the surface. Thus, tool holder collision poses a constraint to ?nish machining. In the current approach the tool holder, along with the tool, has been abstracted as a series of stacked cylinders (Figure 6). Collision detection has been done both for the tool body and tool holder. 9

The process to detect the potential collision at a certain CL-point (x0 , y0 , z0 ) for a certain tool of radius r involves ?nding all the points (xi , yi , zi ) on the discretized surface that lie with in the tool holder assembly. Equation 3 describes the set of equations to check tool holder collisions.

Figure 6: Tool Holder Collision Detection

(xi ? x0 )2 + (yi ? y0 )2 + (zi ? z0 )2 < r2 (xi ? x0 )2 + (yi ? y0 )2 < r2
2 (xi ? x0 )2 + (yi ? y0 )2 < rj

for zi < z0 for z0 ≤ zi < z0 + L
j?1 j

(3a) (3b) Lk
k=1

for z0 +
k=0

Lk < z0 +

(3c)

(j = 1 ? 4, L0 = L)

8

Implementation

The complete implementation procedure for generating zig-zag toolpaths is given below. IMPLEMENTATION STEPS ? Input .SAT ?le – Surface-plane intersection to obtain parallel curves on the surface. – Constant arch length marching on the curves to obtain discretized model of the surface. – Select appropriate tool based on accessibility determination. – Inverse Tool O?set to obtain the discretized o?set surface. – Begin starting feed. ? Do feed forward marching on the discretized o?set points (Algorithm 1 ).

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? Find the side step distance (Algorithm 2 ). ? Do surface-plane intersection to get the discretized points on the surface. ? O?set to get discretized o?set points. – end of surface. – Tool holder collision detection at the CL-points. ? Post process data to output .NC ?le.

(a) Example part

(b) Toolpaths at a speci?c region

Figure 7: Example part and generated tool path Figure 7(a) shows a design surface and the zig-zag tool paths generated to machine the surface. Figure 7(b) shows a magni?ed square region (Figure 7(a)) of the same tool paths. A maximum scallop height of 0.0015in and feed-forward error of 0.0006in has been used for this case. Ball-end milling cutter of 0.125in diameter was used for machining. Denser tool paths can be observed in steeper regions (Figure 7(b)) to keep the scallop height with in speci?ed limits. Figure 8(a) shows another example part and the tool paths obtained. A maximum scallop height of 0.0012in and an allowable tolerance of 0.0008in has been used for this case. Ball-end milling cutter of 0.125in diameter was used for machining. Figure 8(b) shows top view of the CL-points obtained for the same part. Closely spaced CL-points have been obtained in steep regions. Figure 9 shows a machined surface using a 0.25 diameter ball-end milling cutter. A maximum scallop height of 25? inch and an allowable tolerance of 0.0004in was used. ACIS c Solid Modelling Kernel has been used for all solid modelling operations.

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(a) Example part

(b) CL-points for example part

Figure 8: Example part and generated CL-points

9

Conclusions

In this paper, a CL-based approach was taken to generate tool paths for ?nishing operation of sculptured surfaces. An inverse tool o?set algorithm was used to generate the discretized o?set surface. Tolerance requirements and maximum allowable scallop height were used as the limiting conditions for CL-data generation in the feed-forward and the side-step direction respectively. The conclusions of this method can be summarized as follows ? Zig-zag tool path planning on the o?set surface ensured that the CL-points were placed on a straight line thus guaranteeing straight line motion of the tool. ? Parallel curves on the surface were obtained by surface-plane intersection. Discretization of the surface was done by constant arc length marching on those curves. This gave dense points in steep regions as compared with those in ?at regions. The accuracy of the inverse tool o?set algorithm was dependent on the resolution of the discretized surface. ? It was shown that the problem of tool holder collision can be successfully tackled by abstracting the tool body and holder as a series of stacked cylinders ? Liner interpolation and inverse tool o?set provided an e?cient method for feed-forward marching and side-step direction. However, for accurate results, the resolution for discretized o?set surface needs to be properly chosen.

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Figure 9: Machined surface using 0.25in diameter cutter

10

Acknowledgments

This work was funded by NSF grant # DMI-0070128 and was done in collaboration with Prof. Jami Shah and his students at Arizona State University. We would also like to thank Profs. Carlo Sequin, Profs. Sara McMains, Dr. Ganping Sun, Dr. V. Sundararajan, Palani Kumaresan and Dr. Roshan D.Souza. for their support through out the work.

References
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