Modeling of three-dimensional numerically controlled end milling operations

Tarng, Y.S.; Cheng, Chung-Chieh; Kao, J. Y.

doi:10.1016/0890-6955(94)00064-q

Cited by 16 publications

(8 citation statements)

References 17 publications

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“…In order to refine and validate the theoretical work, a force dynamometer could be employed to measure the cutting force coefficients. However, this is not the most practical method, therefore we envisage that future validation work in this area will estimate the cutting force coefficients using predefined machining trials [20,21]. In addition, further work will increase the number of test piece experimental trials in order to address robustness and repeatability.…”

Section: Discussionmentioning

confidence: 97%

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The application of tolerance analysis to the theoretical and experimental evaluation of a CNC corner-milling operation

Dotcheva

Millward

2005

Journal of Materials Processing Technology

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Section: Discussionmentioning

confidence: 97%

“…In line with other researchers, the cutting force coefficients used for calculating the cutting forces have been taken from established published data [21,22]. The parameter ξ F (θ(i,k,j)) is an index to indicate that tooth (insert) k is in the cut at angular position , whereby:…”

Section: Cutting Forcesmentioning

confidence: 99%

The application of tolerance analysis to the theoretical and experimental evaluation of a CNC corner-milling operation

Dotcheva

Millward

2005

Journal of Materials Processing Technology

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“…Cutter tool life will be shortened when a¯uctuating loading acts on the cutting edges. Some approaches on optimum cutting condition design for sculptured surface machining have been proposed (Wang 1988, Fussell and Srinivasan 1989, Tarng et al 1995, however most of the investigations just build on end milling processes. The study reported in this paper was an attempt to develop a strategy to optimize the MRR for sculpture surface machining using ball-nosed cutters.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy basis material removal optimization strategy for sculptured surface machining using ball-nosed cutters

Ip¹

1998

International Journal of Production Research

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A fuzzy basis material removal optimization strategy for sculptured surface machining using ball-nosed cutters W. L. R. IP²Optimizing the e ciency in cutting a sculptured surface using numerically controlled machining techniques needs to carefully consider the relationship between cutting edges and surface geometry. The actual cutting speed at the cutting edges of a ball-nosed cutter is a dependent parameter to the surface gradient of the machined surface. A fuzzy basis material removal optimization approach was suggested to compensate the variation of cutting speed due to the change of gradient on the sculptured surface in machining process. In this approach, a constant cutting force is maintained by adjusting the cutting feedrate for each cutting point in considering other machining parameters, such as tool life and surface gradient. The results from a machining trial indicated that the total amount of removed material collected at a ® xed time interval with feedrate adjustment from the machined surface was about 41% more than the surface machined at a constant feedrate. In considering computational time, using the fuzzy approach can also be a faster way than employing heuristic methods. In addition, using the fuzzy approach is simple due to its computational complexityindependent properties in operating a fuzzy inference system.

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“…Altintas et al [4] and Minis et al [5] presented a constant speci"c cutting pressure and the cutting force ratio in milling with straight end mills. Tarng [6] expressed the speci"c cutting pressure with a tangential force and the ratio of the radial force to the tangential force as an exponential function of the averaging chip thickness per revolution. Smith et al [7] introduced a constant cutting sti!ness and considered the radial force to be proportional to the tangential force.…”

Section: Introductionmentioning

confidence: 99%