Modeling of cutting forces as function of cutting parameters for face milling of satellite 6 using an artificial neural network

Aykut, Şeref; Gölcü, Mustafa; Semiz, Serap; Ergür, H. Sevil

doi:10.1016/j.jmatprotec.2007.02.045

Cited by 72 publications

(27 citation statements)

References 22 publications

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“…The main material properties of these alloys are high strength, high hardness, high biocompatibility, high creep resistance and high corrosion and wear resistance superior to that of titanium based alloys [70][71][72]. These properties have made them appropriate candidates for medical implants, aero-engine, nuclear and gas turbine components [73]. Similar to other refractory metal alloys, machinability of cobalt-chromium alloys suffers from work hardening and poor thermal conductivity of the material, resulting in low tool life and poor surface quality [70].…”

Section: Cobalt-chromium Alloysmentioning

confidence: 99%

Environmentally conscious machining of difficult-to-machine materials with regard to cutting fluids

Shokrani

Dhokia

Newman

2012

International Journal of Machine Tools and Manufacture

710

238

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a b s t r a c tMachining difficult-to-machine materials such as alloys used in aerospace, nuclear and medical industries are usually accompanied with low productivity, poor surface quality and short tool life. Despite the broad use of the term difficult-to-machine or hard-to-cut materials, the area of these types of materials and their properties are not clear yet. On the other hand, using cutting fluids is a common technique for improving machinability and has been acknowledged since early 20th. However, the environmental and health hazards associated with the use of conventional cutting fluids together with developing governmental regulations have resulted in increasing machining costs. The aim of this paper is to review and identify the materials known as difficult-to-machine and their properties. In addition, different cutting fluids are reviewed and major health and environmental concerns about their usage in material cutting industries are defined. Finally, advances in reducing and/or eliminating the use of conventional cutting fluids are reviewed and discussed.

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Section: Cobalt-chromium Alloysmentioning

confidence: 99%

Environmentally conscious machining of difficult-to-machine materials with regard to cutting fluids

Shokrani

Dhokia

Newman

2012

International Journal of Machine Tools and Manufacture

710

238

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“…[21]. Tsao and Hocheng (2008) presented the prediction and evaluation of thrust force and surface roughness in drilling of composite material using candle stick drill.…”

Section: Literature Reviewmentioning

confidence: 99%

Cutting Forces in Drilling Operation: Measurement and Modeling for Medium-scale Manufacturing Firms

Das¹,

Das²

2015

IJCA

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Advanced manufacturing systems often caters to rapidly changing product specification determination by the continuously increasing productivity, flexibility and quality demands. The estimation of cutting forces is mandatory to select tools and accessories for machining. Complex interrelationships exist between process parameters and these forces. In the present work, the applicability and relative effectiveness of artificial neural network based model has been investigated for rapid estimation of cutting forces. The results obtained are found to correlate well with the actual experimental readings of cutting forces. Experiments were conducted at different process parameters of cutting in Drilling operation. The proposed work has wide application in selection of tools and online tool wear monitoring. General TermsMeasurement and modeling of Cutting forces.

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“…The method has become widespread in the predictive modelling of milling processes [6] to [8]. ANNs determine an implicit relationship between the input(s) and output(s) by learning from a training data set that represents the behaviour of a process.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Cutting Forces in Ball-End Milling of Multi-Layered Metal Materials

Župerl

Čuš

Irgolič

2016

SV-JME

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340 INTRODUCTIONEnd milling of multi-layered metal materials is an important manufacturing function in the automotive tool making industry. The most well-known process to fabricate the multi-layered materials was developed by Sandia National Laboratories and is known as laser engineered net shaping (LENS). The company Optomec makes and sells equipment based on Sandia's LENS process. LENS uses a laser power of up to 4 kW to fuse metal powders into threedimensional structures layer by layer, guided by a CAD model. The process is enclosed in an airtight, argon environment which prevents oxidation. The closed-loop process controls ensure the geometric and mechanical integrity of the completed part [1]. Due to the inhomogeneous structure of multi-layered metal materials manufactured with the LENS process, the machining of these materials leads to undesirable effects such as tool breakage, rapid cutting tool wear, surface deterioration and shelling of the cladded layers (delayerization). All of these undesirable effects are directly connected to the cutting tool forces acting on the workpiece. Delayerization of material is tightly related to the cutting force normal to the layer deposition plane [2]. Cutting forces can be seen as a control parameter for many other phenomena involved in the milling of these materials. Therefore, there is a considerable practical interest to analyse and predict precisely the cutting forces during milling of multilayered metal materials. Knowing the cutting forces is fundamental for understanding the cutting processes, optimizing the milling operations and evaluating the presence of instabilities that could affect the effectiveness of milling processes.Many cutting force models have been developed for ball-end milling processes, especially the mechanistic models, including the work of Sui [3], Zhou [4] and Milfelner [5]. Mechanistic models try to relate the cutting forces to the chip geometry by experimentally determined cutting force coefficients. The major problem is the lack of cutting force coefficients for oblique cutting and for different tool/workpiece combinations, such as multi-layered laser based metal deposition (LBMD) materials. The coefficients are obtained by labour intensive and timeconsuming cutting experiments and adjusting of model parameters. The problem is even more complicated due to the highly nonlinear and inhomogeneous nature of multi-layer LBMD materials as compared with metals. For these reasons, the generation of specific cutting energy data for LBMD materials is more challenging. No evidence of research efforts that attempts to model the cutting forces in milling LBMD materials has been found. Additionally, the obtained models are also difficult to extend to different tooling systems, conditions, and parameters.An artificial neural network (ANN) can be used as an alternative to analytical approaches. The method has become widespread in the predictive modelling of milling processes [6] to [8]. ANNs determine an implicit relationship between the input(s) and out...

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Modeling of cutting forces as function of cutting parameters for face milling of satellite 6 using an artificial neural network

Cited by 72 publications

References 22 publications

Environmentally conscious machining of difficult-to-machine materials with regard to cutting fluids

Environmentally conscious machining of difficult-to-machine materials with regard to cutting fluids

Cutting Forces in Drilling Operation: Measurement and Modeling for Medium-scale Manufacturing Firms

Prediction of Cutting Forces in Ball-End Milling of Multi-Layered Metal Materials

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