Integration of tool selection with design

Maropoulos, Paul; Baker, R. P.; Paramor, K.Y.G

doi:10.1016/s0924-0136(00)00688-9

Cited by 21 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to consider the characteristics of cutter motion, we have defined the feed angle ϕ i as the ratio between the step length S i and the radius of tool path curvature R i during two successive NC blocks, as in Eq. (1). Feed angle means the direction change of the cutter between two successive NC blocks as in Fig.…”

Section: Feed Anglementioning

confidence: 99%

See 1 more Smart Citation

Five-axis machining time estimation algorithm based on machine characteristics

So¹,

Jung²,

Park³

et al. 2007

Journal of Materials Processing Technology

View full text Add to dashboard Cite

Section: Feed Anglementioning

confidence: 99%

“…Machining time calculation algorithms have been based on a simple algorithm of tool path length divided by input feedrates, with some additional correction factors [1]. Yan et al [2] proposed three mathematical models for the actual feedrate at each NC block to derive a formula for the cutting time.…”

Section: Introductionmentioning

confidence: 99%

Five-axis machining time estimation algorithm based on machine characteristics

So¹,

Jung²,

Park³

et al. 2007

Journal of Materials Processing Technology

View full text Add to dashboard Cite

“…Among the available approaches to the estimation of machining time, detailed engineering methods select the cutting parameters for each operation (e.g. cutting speed, feed, depth of cut) and use them to calculate cutting times [43][44][45]; non-productive times between operations are taken from charts relating to different manufacturing processes [46,47]. As an alternative, feature-based methods do not require the choice of cutting parameters, and calculate cutting times using material removal rates depending on the work material and the type of feature.…”

Section: Introductionmentioning

confidence: 99%

An extended form of the reciprocal-power function for tolerance allocation

Armillotta

2022

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The optimization of dimensional tolerances requires that a cost-tolerance function is evaluated consistently for all the part features involved in a given functional requirement. This is difficult because the parameters of commonly used functions are set using cost data from various sources and on possibly different scales. As an alternative, the paper proposes a revised form of one of the available cost-tolerance functions (reciprocal power), which expresses its parameters in empirical relationship with a set of design specifications on the toleranced features. These include the nominal dimension, the shape, the surface area, and the material. Following a previous study based on cost data available in literature, the values and expressions of the parameters are validated and refined using a feature-based method for the estimation of machining cost. The properties of the extended function allow to develop a simplified method for tolerance allocation that avoids the task of solving the optimization problem; it is a modified version of proportional scaling where the initial solution satisfies optimal ratios between tolerances. The discussion of the results and an application example help to justify the proposed function on grounds of correctness, convenience, and reference value.

show abstract

“…Estimation of cutting time calculated by "length of tool path / command feedrate" can easily be obtained in commercial CAM systems because NC programs contain machining information, such as tool positions, feedrate, etc. [1], but not accurate cutting time due to acceleration and deceleration effects. In particular, it is difficult to estimate the cutting time of complex shapes consisting of many short blocks.…”

Section: Introductionmentioning

confidence: 99%

Estimation System of Accurate Cutting Time Based on Actual Feedrate Identification

Saito

Aoyama²,

Sano³

2012

KEM

View full text Add to dashboard Cite

The estimation of accurate cutting time before cutting is important for improving productivity. Estimation of cutting time calculated by length of tool path / command feedrate can easily be obtained in commercial CAM systems because NC programs contain machining information, such as tool positions, feedrate, etc. However, the actual cutting time is longer than cutting time calculated by length of tool path / command feedrate due to acceleration and deceleration which occurs along the tool path. In this study, an estimation system of accurate cutting time based on the control system of the machine tool is proposed. Experiments were conducted to cut complex shapes using the NC machine tool to compare the actual cutting time, estimated cutting time of commercial CAM systems and those of the proposed system. The estimation error of the proposed system was only 2 %, while the estimation error of a commercial CAM system was 51 %.

show abstract

Integration of tool selection with design

Cited by 21 publications

References 6 publications

Five-axis machining time estimation algorithm based on machine characteristics

Five-axis machining time estimation algorithm based on machine characteristics

An extended form of the reciprocal-power function for tolerance allocation

Estimation System of Accurate Cutting Time Based on Actual Feedrate Identification

Contact Info

Product

Resources

About