Characterization and stability analysis of a multivariable milling tool by the enhanced multistage homotopy perturbation method

Compeán, F. I.; Olvera, D.; Campa, Francisco J.; Lacalle, Luís Norberto López de; Elı́as-Zúñiga, Alex; Rodrı́guez, Ciro A.

doi:10.1016/j.ijmachtools.2012.01.010

Cited by 79 publications

(46 citation statements)

References 17 publications

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“…In Section 4.2, the basics from the numerical method implemented in Dynpro ® will be presented. Both the turning/boring [20] and milling models [21] have a similar code structure.…”

Section: Simulation Of the System With Dynamical Behaviormentioning

confidence: 99%

A Reliable Turning Process by the Early Use of a Deep Simulation Model at Several Manufacturing Stages

et al. 2017

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Abstract:The future of machine tools will be dominated by highly flexible and interconnected systems, in order to achieve the required productivity, accuracy, and reliability. Nowadays, distortion and vibration problems are easily solved in labs for the most common machining operations by using models based on the equations describing the physical laws of the machining processes; however, additional efforts are needed to overcome the gap between scientific research and real manufacturing problems. In fact, there is an increasing interest in developing simulation packages based on "deep-knowledge and models" that aid machine designers, production engineers, or machinists to get the most out of the machine-tools. This article proposes a methodology to reduce problems in machining by means of a simulation utility, which uses the main variables of the system and process as input data, and generates results that help in the proper decision-making and machining plan. Direct benefits can be found in (a) the fixture/clamping optimal design; (b) the machine tool configuration; (c) the definition of chatter-free optimum cutting conditions and (d) the right programming of cutting toolpaths at the Computer Aided Manufacturing (CAM) stage. The information and knowledge-based approach showed successful results in several local manufacturing companies and are explained in the paper.

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“…In Section 4.2, the basics from the numerical method implemented in Dynpro ® will be presented. Both the turning/boring [20] and milling models [21] have a similar code structure.…”

Section: Simulation Of the System With Dynamical Behaviormentioning

confidence: 99%

A Reliable Turning Process by the Early Use of a Deep Simulation Model at Several Manufacturing Stages

et al. 2017

View full text Add to dashboard Cite

show abstract

“…In section 4.2, the basics from the numerical method implemented in Dynpro® will be presented. Both turning/boring [20] and milling models [21] have similar code structure.…”

Section: Simulation Of the System With Dynamical Behaviormentioning

confidence: 99%

A Reliable Turning Process by the Early Use of a Deep Simulation Model at Several Manufacturing Stages

Urbikaín¹,

Lacalle²,

Alonso³

et al. 2017

Preprint

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Abstract:The future using machine tools will be dominated by highly flexible and interconnected systems, in order to achieve the required productivity, accuracy and reliability. Nowadays, distortion and vibration problems are easily solved for the most common cases by sing models based on equations describing the physical laws of the machining processes; however additional efforts are needed to overcome the gap between scientific research and the real manufacturing problems. In fact, there is an increasing interest in developing simulation packages based on "deep knowledge and models" that aid machine designers, production engineers, or machinists to get the best of their machines. This article proposes a systematic methodology to reduce problems in machining by means of a simulation utility, which recognizes, collects and uses the main variables of the system&process as input data, and generates objective results that help in the proper decision-making.Direct benefits by such an application are found in a) the fixture/clamping optimal design, b) the machine tool configuration, c) the definition of chatter free optimum cutting conditions and the right programming of cutting tool path at the Computer Aided Manufacturing (CAM) stage. The information and knowledge-based approach showed successful results in several local manufacturing companies.

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“…Note that apart from semi-discretization, there exist several other approaches for computing the linear stability charts of milling, see e.g. the multi frequency solution [28,29], the Chebyshev collocation [30,31], the homotopy perturbation method [32], or the multi-mode approach [33]. Figure 4 presents the stability lobe diagrams for milling with a four-fluted tool (N = 4), damping ratio ζ = 0.02, cutting-force ratio K r /K t = 0.3, and cuttingforce exponent q = 3/4.…”

Section: Process Damping Coefficient and Stability Chartsmentioning

confidence: 99%

Extension of process damping to milling with low radial immersion

Molnár

Insperger

Bachrathy

et al. 2016

Int J Adv Manuf Technol

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This paper investigates the stabilizing effect of process damping at low cutting speeds for regenerative machine tool vibrations of milling processes. The process damping is induced by a velocity-dependent cutting force model, which takes into account that the actual cutting velocity is different from the nominal one during machine tool vibrations. The chip thickness and the cutting force are calculated according to the direction of the actual cutting velocity. This results in an additional damping term in the governing delaydifferential equation, which is time-periodic for milling and inversely proportional to the cutting speed. In the literature, this term is often assumed to be constant and is considered to improve stability properties at low spindle speeds. In this paper, it is shown that the velocitydependent cutting force model captures the improvement in the low-speed stability only for turning operations and milling with large radial immersion, while it results in a negative process damping term for lowThis work has been supported by theÚNKP-16-3-I. New National Excellence Program of the Ministry of Human Capacities. This work was supported by the Hungarian National Science Foundation under grant OTKA-K105433. The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007(FP/ -2013

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Characterization and stability analysis of a multivariable milling tool by the enhanced multistage homotopy perturbation method

Cited by 79 publications

References 17 publications

A Reliable Turning Process by the Early Use of a Deep Simulation Model at Several Manufacturing Stages

A Reliable Turning Process by the Early Use of a Deep Simulation Model at Several Manufacturing Stages

A Reliable Turning Process by the Early Use of a Deep Simulation Model at Several Manufacturing Stages

Extension of process damping to milling with low radial immersion

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