Dynamics of a steel turning process

Dynamic cutting force will induce vibrations in hardened steel precision turning process. The dynamic cutting force in the process of turning was studied, and the dynamic cutting force model of hardened steel precision turning system was set; Based on DEFORM-3D software, a three-dimensional model of hardened steel turning was established by pre-set some fluctuations workpiece geometry; the turning test of hardened steel GCr15 in CAK6150DI lathe by using PCBN cutting tools, simulation and experimental results show that the high-speed precision turning will produce strip and sawtooth chip morphology; the maximum cutting force of hardened steel precision turning is the radial cutting force, which is greater than the main cutting force; cutting forces have a larger amount of fluctuation, which can reach 30% -55%. This research will provide a theoretical basis for related study on the vibration of the hardened steel turning process

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Impact of stochastic industrial variables on the cost optimization of AISI 52100 hardened-steel turning process

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-019-04273-1 ◽

2019 ◽

Vol 104 (9-12) ◽

pp. 4331-4340

Author(s):

Alexandre Fonseca Torres ◽

Fabrício Alves de Almeida ◽

Anderson Paulo de Paiva ◽

João Roberto Ferreira ◽

Pedro Paulo Balestrassi ◽

...

Keyword(s):

Cost Optimization ◽

Hardened Steel ◽

Turning Process ◽

Aisi 52100 ◽

Steel Turning ◽

The Cost

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Experimental Setup for Multi-Sensor Fusion and Data Correlation Analysis During CNC Steel Turning Process

ASME 2010 International Manufacturing Science and Engineering Conference, Volume 1 ◽

10.1115/msec2010-34308 ◽

2010 ◽

Author(s):

Andrew Joslin ◽

Manuel Hernandez ◽

Erick Deane ◽

Schadrick Collins ◽

Chengying Xu ◽

...

Keyword(s):

Online Monitoring ◽

Machining Process ◽

Turning Process ◽

Ongoing Research ◽

Tool Condition ◽

Acceleration Sensors ◽

Steel Turning ◽

And Control ◽

Cnc Turning Process ◽

Machining Parameter

This paper discusses a preliminary setup for an ongoing research project with goals of off-line modeling and optimization for a CNC turning process of AISI 4137 steel alloy; followed by online monitoring, optimization, and control of the machining process. A full factorial Design Of Experiment (DOE) of three machining parameter factors was created in Minitab™ and Analysis of Variance was performed, in order to determine which parameters influenced the machining process the most. Accelerometers, acoustic emission sensors and force sensors have given researchers insights into the relationships between mechanical vibration and tool condition during the turning process. Similarly, correlations have been recognized between electrical power consumption, machining forces, tool temperature, and tool condition. While monitoring the machining process with sophisticated force and acceleration sensors is effective, implementation in a large scale factory environment may not be an economical solution to online monitoring and control. Finding an ideal combination of sensors capable of monitoring significant factors that affect the CNC steel turning process will allow process optimization and reduce the cost of machining.

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