Lifespan prediction of cutting tools for high-value-added products

Li, Cun Rong; Sarker, Bhaba R.

doi:10.1007/s00170-013-5160-1

Cited by 9 publications

(5 citation statements)

References 19 publications

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“…[7][8][9][10][11][12]), they only consider the expected value of tool-life. Actually, its stochastic nature should not be neglected [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Diffusion Theory Applied to Tool-Life Stochastic Modeling Under a Progressive Wear Process

Braglia

Castellano

2014

Journal of Manufacturing Science and Engineering

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In this paper, a novel approach to the derivation of the tool-life distribution, when the tool useful life ends after a progressive wear process, is presented. It is based on the diffusion theory and exploits the Fokker-Planck equation. The Fokker-Planck coefficients are derived on the basis of the injuij theory assumptions. That is, tool-wear occurs by detachment of small particles from the tool working surfaces, which are assumed to be identical and time-independent. In addition, they are supposed to be small enough to consider the detachment process as continuous. The tool useful life ends when a specified total volume of material is thus removed. Tool-life distributions are derived in two situations: (i) both Fokker-Planck coefficients are time-dependent only and (ii) the diffusion coefficient is neglected and the drift is wear-dependent. Theoretical results are finally compared to experimental data concerning fiank wear land in continuous turning of a C40 carbon steel bar adopting a PIO type sintered carbide insert. The adherence to the experimental data of the tool-life distributions derived exploiting the Fokker-Planck equation is satisfactory. Moreover, the tool-life distribution obtained, when the diffusion coefficient is neglected and the drift is wear-dependent, is able to well-represent the wear behavior at intermediate and later times.

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“…[7][8][9][10][11][12]), they only consider the expected value of tool-life. Actually, its stochastic nature should not be neglected [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Diffusion Theory Applied to Tool-Life Stochastic Modeling Under a Progressive Wear Process

Braglia

Castellano

2014

Journal of Manufacturing Science and Engineering

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“…The lifespan assessment-involved literatures are also covered with the contributions of Minguez Gabiña, Zamora de la Fuente, and Barrenetxea Apraiz (2013), Alves de Albuquerque et al (2013) and Bonvoisin, Thiede, and Brissaud (2013). Most recently, Li and Sarker (2013) posed an evaluation on how the parameters influence the lifespan; but the inventory policy was not included in it. When economic penalty of tool breakdown is taken into account, tool lifespan adoption will be transformed into another issue.…”

Section: Lifespan Assessment Of Machining Toolsmentioning

confidence: 98%

“…Based on the traditional cutting theory, Li and Sarker (2013) reveals that the lifespan of a tool, T, follows a probability distribution f(T) affected by machining speed, feed, machining depth and other factors. In fact, for some extraneous conditions such as failure of a tool will result in potential hazards to operator or surrounding equipment.…”

Section: Expected Lifespan Estimation For Pre-empt Machining Toolsmentioning

confidence: 99%

An optimal stocking policy for machining tools with stochastically distributed lifespan and demand

Li¹,

Sarker²,

Yi³

2014

International Journal of Production Research

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Traditional procurement policy was deeply investigated for many kinds of demand in different industrial sectors. More extensive explorations on procurement including the combination with manufacturing process and detailed attributes of the purchased products were conducted by many researchers. In manufacturing process, lifespan of machining tools have significant impact on both the quantity of procurement and production cost. In this paper, the impact of maximum allowable stopping time for machining tools on production-inventory policy under a stochastic production demands was investigated. A tool procurement policy with stochastic demand (TPPSD) was developed with which the allowable stopping time for tools and review cycle can be optimally determined by an exhaustive searching algorithm. Examples with different distributions on tool lifespan and production demand are presented to show the implementation of the TPPSD model. The results show that optimised combination of selection for tool allowable stopping time and review cycle time can dramatically minimise the total cost of the whole procurement activity.

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“…Jeang (2012) proposed an integrated model that enables process parameters, production lot size and cycle time to be determined concurrently, but it is weak in discussing the practical lifespan of the manufacturing process. Li and Sarker (2013) posed an evaluation on how the parameters influence the lifespan; however, the inventory policy was not included in it.…”

Section: Lifespan Assessment Of Machining Toolsmentioning

confidence: 99%

“…Normally distributed lifespan. Lifespan of machining tools follows normal distribution for kind of conditions (see Li and Sarker, 2013). The cumulative distribution function for a normal distribution can be expressed as follows:…”

Section: Numerical Analysismentioning

confidence: 99%

Determining the optimal procurement policy and maximum allowable lifespan for machining tools with stochastically distributed toollife

Chen

Sarker

et al. 2015

Journal of the Operational Research Society

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For high-value added products, machining tools' lifespan significantly influences the quantity of procurement in machining process. Preemption of tools from the workpiece while processing is continuing is sometime beneficial to safeguard the product from the damage due to tool failure or its malfunction. Also an early discard of a tool is costly for the manufacturing operation. Therefore an optimal strategy for the tool life is sought here to determine the maximum allowable tool lifespan to preempt from the workpiece and to have an appropriate amount of tool stock in the crib to ascertain the proper running of the production schedule and tool inventory. Therefore, an impact of the machining tool lifespan on the production-inventory policy of the system is investigated in this paper. An integrated lifespan related inventory model for machining tools is developed to meet the responding accurate requirement of procurement and inventory. Two numerical examples are presented to illustrate the integrated model. The results show that the practical lifespan adoption of machining tools has significant impact on the whole quantity of procurement, and eventually influences the coordinating economic decision making.

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Lifespan prediction of cutting tools for high-value-added products

Cited by 9 publications

References 19 publications

Diffusion Theory Applied to Tool-Life Stochastic Modeling Under a Progressive Wear Process

Diffusion Theory Applied to Tool-Life Stochastic Modeling Under a Progressive Wear Process

An optimal stocking policy for machining tools with stochastically distributed lifespan and demand

Determining the optimal procurement policy and maximum allowable lifespan for machining tools with stochastically distributed toollife

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