Factorial Study on Nonlinear Characteristics of Difficult-to-Cut Materials in High-Speed Cutting Process

Long, Zhenhai

doi:10.3901/jme.2006.01.030

Cited by 4 publications

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“…Because the extent of the participation of the minor cutting edge was closely related to cutting depth, the feed per tooth directly affected the extent of the cutting deformation and flow velocity, so it was completely possible to induce non-linear characteristics to the cutting force by the interaction between cutting depth and feed per tooth in high-speed conditions. 10 Because the interaction between feed per tooth and cutting depth failed to be reflected by the linear regression model, the significance levels of the two parameters were high. It was thus necessary to analyse the influence of the interaction between the cutting parameters on the cutting force.…”

Section: The Influence Of Cutting Parameters On Milling Forcementioning

confidence: 99%

Experimental tests and empirical models of the cutting force and surface roughness when cutting 1Cr13 martensitic stainless steel with a coated carbide tool

et al. 2016

Advances in Mechanical Engineering

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Cutting force prediction is the key issue for planning and optimising the machining process. To explore the cutting of difficult-to-machine 1Cr13 martensitic stainless steel, an orthogonal test was conducted to study the cutting force and surface roughness under the dry, full-width milling. In addition, an empirical model, applied to the exponential forms of the cutting force and surface roughness of 1Cr13 martensitic stainless steel, was established by data processing and linear regression. It can be seen that the significance levels of the influence of cutting parameters on cutting force, surface roughness were cutting depth a p , feed per tooth f and cutting speed v during APMT 1135 PDTR coated carbide tool milling of 1Cr13 stainless steel at high speed by testing the significance of regression relationships and their coefficients. It was found that the predictive model offered high accuracy. The cutting parameters that affect the cutting force and surface roughness in milling machining were analysed and the common rules were concluded in this article based on a series of cutting experiments. And those rules can be used as the scientific theory evidence for cutting-parameter selection in the milling machining.

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Section: The Influence Of Cutting Parameters On Milling Forcementioning

confidence: 99%

Experimental tests and empirical models of the cutting force and surface roughness when cutting 1Cr13 martensitic stainless steel with a coated carbide tool

et al. 2016

Advances in Mechanical Engineering

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show abstract

Establishment of vibration wear model for turning large-pitch thread tools and its wear suppression method

et al. 2020

Int J Adv Manuf Technol

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Energy field-assisted high-speed dry milling green machining technology for difficult-to-machine metal materials

et al. 2023

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Energy field-assisted machining technology has the potential to overcome the limitations of machining difficult-to-machine metal materials, such as poor machinability, low cutting efficiency, and high energy consumption. High-speed dry milling has emerged as a typical green processing technology due to its high processing efficiency and avoidance of cutting fluids. However, the lack of necessary cooling and lubrication in high-speed dry milling makes it difficult to meet the continuous milling requirements for difficult-to-machine metal materials. The introduction of advanced energy-field-assisted green processing technology can improve the machinability of such metallic materials and achieve efficient precision manufacturing, making it a focus of academic and industrial research. In this review, the characteristics and limitations of high-speed dry milling of difficult-to-machine metal materials, including titanium alloys, nickel-based alloys, and high-strength steel, are systematically explored. The laser energy field, ultrasonic energy field, and cryogenic minimum quantity lubrication energy fields are introduced. By analyzing the effects of changing the energy field and cutting parameters on tool wear, chip morphology, cutting force, temperature, and surface quality of the workpiece during milling, the superiority of energy-field-assisted milling of difficult-to-machine metal materials is demonstrated. Finally, the shortcomings and technical challenges of energy-field-assisted milling are summarized in detail, providing feasible ideas for realizing multi-energy field collaborative green machining of difficult-to-machine metal materials in the future.

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Factorial Study on Nonlinear Characteristics of Difficult-to-Cut Materials in High-Speed Cutting Process

Cited by 4 publications

References 0 publications

Experimental tests and empirical models of the cutting force and surface roughness when cutting 1Cr13 martensitic stainless steel with a coated carbide tool

Experimental tests and empirical models of the cutting force and surface roughness when cutting 1Cr13 martensitic stainless steel with a coated carbide tool

Establishment of vibration wear model for turning large-pitch thread tools and its wear suppression method

Energy field-assisted high-speed dry milling green machining technology for difficult-to-machine metal materials

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