2017
DOI: 10.1063/1.5008118
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Influence of the ferritic-pearlitic steel microstructure on surface roughness in broaching of automotive steels

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Cited by 8 publications
(10 citation statements)
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“…According to Forst [29], the roughness parameter Ra may be obtained in the range 1-2 μm. Surface roughness is strongly influenced by several parameters such as: broaching strategy, broach design, cutting conditions, lubrication conditions and work materials [2,27,29,67,78,79,104,105].…”
Section: Roughnessmentioning
confidence: 99%
“…According to Forst [29], the roughness parameter Ra may be obtained in the range 1-2 μm. Surface roughness is strongly influenced by several parameters such as: broaching strategy, broach design, cutting conditions, lubrication conditions and work materials [2,27,29,67,78,79,104,105].…”
Section: Roughnessmentioning
confidence: 99%
“…A dedicated experimental set-up, developed in previous studies focusing on surface roughness [7,8], was used to perform fundamental tests up to 60m/min. To alleviate any lack of stiffness, the experimental campaign was conducted with a single tooth broaching tool.…”
Section: Fundamental Broaching Testmentioning
confidence: 99%
“…Broaching is widely used in industry, however there is little published research on this process when compared to turning, milling or drilling. The few studies found in the literature have been conducted to identify the process parameters affecting cutting forces [5], surface integrity [6], surface roughness [7,8], the influence of different coatings and lubrication [9] and the development of innovative monitoring techniques [10]. Moreover, very little work exists on broaching [11] or even micro cutting [11] of FP steels.…”
Section: Introductionmentioning
confidence: 99%
“…The MSB model is input to a FE orthogonal cutting model, with the Arbitrary Lagrangian Eulerian (ALE) approach, previously described in [9], selected as most suitable for executing the microstructure based inputs, for establishing a wear prediction strategy, and finally for predicting tool wear. One of the special characteristics of the developed FE model is a sliding velocity based friction law, developed first by [10] and fitted to FP steels depending on their ferrite fraction by [11]. Thermal properties were characterized for the selected steel and tool materials [7].…”
Section: Evaluation Of Msb Flow Stress Modelmentioning
confidence: 99%