Relevant bibliographies by topics / Machining chip

Academic literature on the topic 'Machining chip'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Machining chip"

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Anicic, Obrad, Srdjan Jovic, Srdan Tasic, Aleksa Vulovic, and Milivoje Jovanovic. "Temperature detection in cutting zone for different forms of chip shapes during machining process." Sensor Review 38, no. 1 (January 15, 2018): 102–5. http://dx.doi.org/10.1108/sr-07-2017-0141.

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Purpose This study aims to detect the temperature distribution in the cutting zone during the machining process. Furthermore, temperature influence in the cutting zone on the forms of chip shapes during the turning of Steel 30CrNiMo8 was evaluated. It is very important to use optimal machining parameters to get the best production results or for high control of the machining process. Design/methodology/approach Temperature distribution in the cutting zone during the machining process could affect the forms of chip shapes. Forms of chip shapes could be considered as the most important indicator for the quality of the machining process. Findings Therefore, in this study, the forms of chip shapes based on the temperature distribution in the cutting zone were examined. Originality/value It was found that the snarled chip type and the loose chip type have the highest temperature variation during the machining process.
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Fang, Ning. "A Quantitative Sensitivity Analysis of Cutting Performances in Orthogonal Machining with Restricted Contact and Flat-Faced Tools." Journal of Manufacturing Science and Engineering 126, no. 2 (May 1, 2004): 408–11. http://dx.doi.org/10.1115/1.1643081.

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This paper presents a new quantitative sensitivity analysis of cutting performances in orthogonal machining with restricted contact and flat-faced tools, based on a recently developed slip-line model. Cutting performances are comprehensively measured by five machining parameters, i.e., the cutting forces, the chip back-flow angle, the chip up-curl radius, the chip thickness, and the tool-chip contact length. It is demonstrated that the percentage of contribution of tool-chip friction to the variation of cutting performances depends on different types of machining operations. No general conclusion about the effect of tool-chip friction should be made before specifying a particular type of machining operation and cutting conditions.
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Kouril, M. "Chip machining of cemented carbides." Metal Powder Report 53, no. 7-8 (July 1998): 44. http://dx.doi.org/10.1016/s0026-0657(98)85115-1.

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Manyindo, B. M., and P. L. B. Oxley. "Modelling the Catastrophic Shear Type of Chip When Machining Stainless Steel." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 200, no. 5 (September 1986): 349–58. http://dx.doi.org/10.1243/pime_proc_1986_200_138_02.

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When machining materials such as stainless steel and titanium the removed chip is characterized by a serrated (saw-tooth) outer surface and large cyclic variations in macrostrain within the chip. The present paper presents a model for the process producing such chips. The model is shown to represent accurately experimental results derived from cine films and photomicrographs of the chip formation process obtained when maching stainless steel.
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Ruan, Jing Kui, Ying Lin Ke, and Yong Yang. "The Finite Element Analysis of Serrated Chip Formation in High-Speed Cutting Auto Panel Dies." Materials Science Forum 575-578 (April 2008): 293–98. http://dx.doi.org/10.4028/www.scientific.net/msf.575-578.293.

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On the base of analyzing material constitutive model, chip-tool contact friction, and chip separation and fracture, a finite element model (FEM) was built to study the high-speed machining process of alloy cast-iron. The shaping process of serrated chip in high-speed milling alloy cast-iron was simulated and analyzed in detail. It was shown that machining parameters affect the serrated chip forming greatly. The model can be used to optimize machining parameters, prolong tool life and improve machining surface quality.
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Anicic, Obrad, Srdjan Jovic, Ivica Camagic, Mladen Radojkovic, and Nenad Stanojevic. "Measuring of cutting forces and chip shapes based on different machining parameters." Sensor Review 38, no. 3 (June 18, 2018): 387–90. http://dx.doi.org/10.1108/sr-08-2017-0169.

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Purpose The main aim of the study was to measure the cutting forces and chip shapes based on different machining parameters. Design/methodology/approach To get the best optimal machining conditions, it is essential to use the best combination of machining parameters. Although some machining parameters are not important for the process, there are machining parameters which are very important for the machining process. Findings It is essential to determine which machining parameters are the most dominant to make the optimal machining conditions. Originality/value Six different chip shapes are obtained according to ISO standardization. It was determined that the different cutting forces occurred for the different chip shapes.
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Mann, James B., Yang Guo, Christopher Saldana, Ho Yeung, W. Dale Compton, and Srinivasan Chandrasekar. "Modulation-Assisted Machining: A New Paradigm in Material Removal Processes." Advanced Materials Research 223 (April 2011): 514–22. http://dx.doi.org/10.4028/www.scientific.net/amr.223.514.

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Modulation Assisted Machining (MAM), based on controlled superimposition of low-frequency modulation to conventional machining, effects discrete chip formation and disrupts the severe contact condition at the tool-chip interface. The underlying theory of discrete chip formation and its implications are briefly described and illustrated. Benefits such as improved chip management and lubrication, reduction of tool wear, enhanced material removal, particulate manufacturing and surface texturing are highlighted using case studies. MAM represents a new paradigm for machining in that it deliberately employs ‘good vibrations’ to enhance machining performance and capability.
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Jovic, Srdjan, Dragan Lazarevic, and Aleksa Vulovic. "Analyzing of the sensitivity of chip formation during machining process." Sensor Review 37, no. 4 (September 18, 2017): 448–50. http://dx.doi.org/10.1108/sr-06-2017-0120.

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Purpose The paper aims to analyze chip formation during machining process since it can be a very important indicator for the quality of the machining process, as some chip forms can be undesirable. Design/methodology/approach It is essential to determine the sensitivity of the chip formation on the basis of different machining parameters. The main goal of the study was to analyze the sensitivity of the chip formation during the machining process by using adaptive neuro-fuzzy inference system (ANFIS). Findings According to the results, the chip formation is the most sensitive to feed rate. Originality/value Different cutting tests were performed to monitor the chip formation on the basis of the cutting forces and the cutting displacement. ANFIS was used to estimate the sensitivity of the chip formation during the cutting process on the basis of different parameters.
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Rahman, M. Azizur, Md Shahnewaz Bhuiyan, Sourav Sharma, Mohammad Saeed Kamal, M. M. Musabbir Imtiaz, Abdullah Alfaify, Trung-Thanh Nguyen, et al. "Influence of Feed Rate Response (FRR) on Chip Formation in Micro and Macro Machining of Al Alloy." Metals 11, no. 1 (January 16, 2021): 159. http://dx.doi.org/10.3390/met11010159.

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In this paper, the investigation of chip formation of aluminum alloy in different machining strategies (i.e., micro and macro cutting) is performed to develop a holistic view of the chip formation phenomenon. The study of chip morphology is useful to understand the mechanics of surface generation in machining. Experiments were carried out to evaluate the feed rate response (FRR) in both ultra-precision micro and conventional macro machining processes. A comprehensive study was carried out to explore the material removal mechanics with both experimental findings and theoretical insights. The results of the variation of chip morphology showed the dependence on feed rate in orthogonal turning. The transformation of discontinuous to continuous chip production—a remarkable phenomenon in micro machining—has been identified for the conventional macro machining of Al alloy. This is validated by the surface crevice formation in the transition region. Variation of the surface morphology confirms the phenomenology (transformation mechanics) of chip formation.
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Tang, Zhi An, Chang Yi Liu, and Jun Jie Yi. "Finite Element Simulation of Ultrasonic Vibration Orthogonal Cutting of Ti6Al4V." Advanced Materials Research 97-101 (March 2010): 1933–36. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.1933.

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In this paper Finite Element Methods (FEM) were used to simulate the ultrasonic vibration Orthogonal cutting of titanium alloy Ti6Al4V. Machining conditions were similar to those used for manufacture. Material constitutive applied Johnson-Cook model combining elastic and plastic deformation, the material hardening for extreme shear strain and strain rate, material softening for adiabatic shear of chip flow-zone. Chip separated criteria adopted arbitrary Lagrangian Euler algorithm (ALE). Heat sources included the rake face chip flow under conditions of seizure and chip/tool friction, clearance face tool/workpiece friction. Thus, the orthogonal ultrasonic vibration machining of Ti6Al4V FEM models were established. The simulation results included the chip formation, the cutting force/stress and temperature distributions through the primary shear zone and the chip/tool contact region. The cutting force, cutting temperature of the ultrasonically and conventionally machining were compared. The reasons of the decrease of chip deformation coefficients, cutting force and temperature and the increase of shear angle in ultrasonic machining were discussed.
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Dissertations / Theses on the topic "Machining chip"

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Hagiwara, Masaya. "OPTIMIZATION OF MACHINING PERFORMANCE IN CONTOUR FINISH TURNING OPERATIONS." UKnowledge, 2005. http://uknowledge.uky.edu/gradschool_theses/341.

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Unlike straight turning, the effective cutting conditions and tool geometry in contour turning operations are changing with changing workpiece profile. This causes a wide variation in machining performance such as chip flow and chip breakability during the operation. This thesis presents a new methodology for optimizing the machining performance, namely, chip breakability and surface roughness in contour finish turning operations. First, a computer program to calculate the effective cutting conditions and tool geometry along the contour workpiece profile is developed. Second, a methodology to predict the chip side-flow for complex grooved tool inserts is formulated and integrated in the current predictive model for contour turning operations. Third, experimental databases are established and numerical data interpolation is applied to predict the cutting forces, chip shape and size, and surface roughness for 1045 steel work material. Finally, based on the machining performance predictions, a new optimization program is developed to determine the optimum cutting conditions in contour finish turning operations.
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Mahdi, Wathik Issa. "Tool contact stresses and chip formation in metal machining." Thesis, University of Bradford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.254204.

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Olajire, Kabiru Ayinde. "Machining of aerospace steel alloys with coated carbides." Thesis, Coventry University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301195.

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Avanessian, Alfred. "An analysis of the effect of 3-D groove insert design on chip breaking chart." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-01255-110749/.

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Zhou, Li. "Machining chip-breaking prediction with grooved inserts in steel turning." Link to electronic thesis, 2002. http://www.wpi.edu/Pubs/ETD/Available/etd-0109102-140803.

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Zhou, Li. "Machining chip breaking prediction with grooved inserts in steel turning." Link to electronic thesis, 2001. http://www.wpi.edu/Pubs/ETD/Available/etd-0109102-140803.

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Brown, Charles Jeremy. "An investigation of tool stresses caused by unsteady chip formations in machining." Thesis, Queen's University Belfast, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236295.

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Kishawy, Hossam Eldeen A. "Chip formation and surface integrity in high speed machining of hardened steel /." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0003/NQ42858.pdf.

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Khatri, Ashutosh Mahesh. "INVESTIGATING TOOL WEAR MECHANISM AND MICROSTRUCTURALCHANGES FOR CONVENTIONAL AND SUSTAINABLE MACHINING OFTITANIUM ALLOY." Miami University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=miami1533287855502478.

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Venkatachalam, Sivaramakrishnan. "Predictive Modeling for Ductile Machining of Brittle Materials." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19774.

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Brittle materials such as silicon, germanium, glass and ceramics are widely used in semiconductor, optical, micro-electronics and various other fields. Traditionally, grinding, polishing and lapping have been employed to achieve high tolerance in surface texture of silicon wafers in semiconductor applications, lenses for optical instruments etc. The conventional machining processes such as single point turning and milling are not conducive to brittle materials as they produce discontinuous chips owing to brittle failure at the shear plane before any tangible plastic flow occurs. In order to improve surface finish on machined brittle materials, ductile regime machining is being extensively studied lately. The process of machining brittle materials where the material is removed by plastic flow, thus leaving a crack free surface is known as ductile-regime machining. Ductile machining of brittle materials can produce surfaces of very high quality comparable with processes such as polishing, lapping etc. The objective of this project is to develop a comprehensive predictive model for ductile machining of brittle materials. The model would predict the critical undeformed chip thickness required to achieve ductile-regime machining. The input to the model includes tool geometry, workpiece material properties and machining process parameters. The fact that the scale of ductile regime machining is very small leads to a number of factors assuming significance which would otherwise be neglected. The effects of tool edge radius, grain size, grain boundaries, crystal orientation etc. are studied so as to make better predictions of forces and hence the critical undeformed chip thickness. The model is validated using a series of experiments with varying materials and cutting conditions. This research would aid in predicting forces and undeformed chip thickness values for micro-machining brittle materials given their material properties and process conditions. The output could be used to machine brittle materials without fracture and hence preserve their surface texture quality. The need for resorting to experimental trial and error is greatly reduced as the critical parameter, namely undeformed chip thickness, is predicted using this approach. This can in turn pave way for brittle materials to be utilized in a variety of applications.
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Books on the topic "Machining chip"

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Słodki, Bogdan. Fizyczne i technologiczne aspekty zwijania i łamania wióra w obróbce superstopów na bazie niklu: Physical and technological aspects concerning chip curl and breaking in nickel based superalloys machining = Physische und technologische Aspekten von der Spanwicklung und dem Spanbrechen bei dem Zerspanen von Superlegierungen auf dem Nickelbasis. Kraków: Wydawnictwo PK, 2012.

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Brown, Charles Jeremy. An investigation of tool stresses caused by unsteady chip formations in machining. 1986.

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Xie, Qufei. An analytical study and finite element modeling of chip formation in metal machining process. 1993.

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Book chapters on the topic "Machining chip"

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Sheikh-Ahmad, Jamal Y. "Mechanics of Chip Formation." In Machining of Polymer Composites, 63–110. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-68619-6_3.

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Huda, Zainul. "Mechanics of Chip Formation." In Machining Processes and Machines, 11–26. First edition. | Boca Raton : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003081203-3.

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Tschätsch, Heinz, and Anette Reichelt. "Metal removal rate and chip volume ratio." In Applied Machining Technology, 39–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01007-1_5.

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Grzesik, Wit. "Mechanics of Cutting and Chip Formation." In Machining of Hard Materials, 87–114. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-450-0_3.

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von Turkovich, B. F. "Cutting Theory and Chip Morphology." In Handbook of High-Speed Machining Technology, 27–47. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-6421-4_2.

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Jackson, Mark J., M. D. Whitfield, G. M. Robinson, R. G. Handy, Jonathan S. Morrell, W. Ahmed, and H. Sein. "Analysis of Contact of Chip and Tool Using Nanostructured Coated Cutting Tools." In Machining with Nanomaterials, 155–75. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19009-9_6.

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Davies, M. A., T. J. Burns, and C. J. Evans. "The Dynamics of Chip Formation in Machining." In IUTAM Symposium on New Applications of Nonlinear and Chaotic Dynamics in Mechanics, 183–92. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-5320-1_20.

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Shin, Yung C., and Chinmaya Dandekar. "Mechanics and Modeling of Chip Formation in Machining of MMC." In Machining of Metal Matrix Composites, 1–49. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-938-3_1.

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Xu, H. H., Xiang Feng Li, Dun Wen Zuo, and Min Wang. "Double-CCD Stereoscopic Vision System Monitoring Chip Shape." In Advances in Machining & Manufacturing Technology VIII, 66–70. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-999-7.66.

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Viswanathan, Koushik, Anirudh Udupa, Dinakar Sagapuram, and James B. Mann. "What Do Chip Morphologies Tell Us About the Cutting Process?" In Advances in Forming, Machining and Automation, 349–59. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9417-2_28.

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Conference papers on the topic "Machining chip"

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Berglind, Luke, and John Ziegert. "Chip Breaking Parameter Selection for Constant Surface Speed Machining." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63531.

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Modulated tool path (MTP) chip breaking is a lathe machining technique which produces chips of a predetermined length to reduce the risk of damage to the tool or the work piece caused by chip entanglement. Individual chips are formed by repeatedly interrupting chip formation through CNC commanded tool oscillations superimposed in the tool feed direction. Previous work has shown that the chip length and part surface finish quality are dependent on the tool oscillation frequency relative to the spindle speed (OPR), and the oscillation amplitude relative to the global feed per revolution (Raf). Apart from chip length and surface quality, the dynamic capabilities of the machine must be considered when selecting MTP parameters, OPR and Raf. The dynamic limitations of the machine will limit the available range of tool oscillation frequencies and amplitudes. In this paper, the factors which affect the MTP parameter selection process are discussed, and a process for selecting these parameters automatically based on multiple constraints and criteria is presented for constant surface speed MTP machining.
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Swaminathan, Srinivasan, M. Ravi Shankar, Balkrishna C. Rao, Travis L. Brown, Srinivasan Chandrasekar, W. Dale Compton, Alexander H. King, and Kevin P. Trumble. "Nanostructured Materials by Machining." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81242.

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Large strain deformation, a key parameter in microstructure refinement by Severe Plastic Deformation (SPD) processes, is a common feature of chip formation in machining. It is shown that the imposition of large plastic strains by chip formation can create metals and alloys with nanocrystalline or ultra-fine grained microstructures. The formation of such nanostructured materials is demonstrated in a wide variety of material systems including pure metals, light-weight aluminum alloys, and high strength steels and alloys. Nanocrystalline microstructures with different morphologies are demonstrated. The hardness and strength of the nanostructured chips are significantly greater than that of the bulk material. The production of nanostructured chips by machining, when combined with comminution and powder processing methods, may be expected to lead to the creation of a number of advanced materials with new and interesting combinations of properties. These materials are expected to find wide-ranging applications in the discrete products sector encompassing ground transportation, aerospace and bio-medical industries.
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Kishawy, Hossam A., and Mohamed A. Elbestawi. "Effect of Process Parameters on Chip Morphology When Machining Hardened Steel." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1130.

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Abstract This paper presents an experimental study of the effect of process parameters on chip morphology when machining hardened steel. Cutting tests are performed using ceramic inserts at (90–200) m/min cutting speed, (0.01–0.2) mm feed and (0.2–4) mm depth of cut. The chips obtained are examined using SEM and optical microscope. The effect of tool wear and different combinations of cutting speed and feed on chip morphology are studied. In addition, the effects of cutting conditions on chip segmentation frequency are investigated. Microhardness tests are also performed on the chips collected at different cutting conditions. The results obtained show that the cutting process parameters alter significantly the chips microhardness distribution.
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Mann, J. B., M. Saei, A. Udupa, B. Stiven Puentes-Rodriguez, and D. Sagapuram. "Applications of Machining in Materials Manufacturing." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8491.

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Abstract The deformation conditions in machining of metals and alloys offer a unique route for materials processing with remarkable advantages over conventional deformation processes. The intense shear strain and high strain-rates in machining can be applied to form chips with controlled geometry. That is, the chip formation in machining can be used directly as a materials processing route wherein the chip becomes the product. The technical details for two of these processes — hybrid cutting-extrusion (HCE) and modulation-assisted machining (MAM) — are discussed and recent experimental results are presented. Both processes involve direct control of the shear-based deformation in machining. HCE applies an additional constraint in cutting which converts the otherwise uncontrolled chip thickness to a controlled format of specific size and shape. In HCE processing of sheet and strip, the deformed chip thickness is less than the deformed chip thickness in conventional cutting. The superimposed oscillation in MAM converts the otherwise continuous cutting process into a series of discrete cutting events. The control of the MAM and cutting conditions enable unique control of chip formation and the production of equiaxed, fiber, and platelet powder (particle) morphologies. The HCE and MAM processes demonstrate how chip control in machining can provide a route to applications opportunities in materials manufacturing.
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Avanessian, A., Y. Rong, and G. Tan. "An Improved Model of Machining Chip Breaking Limits for Smart Machining Process Design." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79378.

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Prediction of chip-breaking in machining is an important task for automated manufacturing. According to experiments and previous study, there are chip-breaking limits in machining chip-breaking chart, which determine the chip-breaking range. When inserts with 3-D grooves are used in finish machining, there is an additional chip-breaking region beyond the chip breaking limits determined by the prediction models in previous study. In this paper, the chip-breaking chart is studied for protruded insert grooves. Analytical models are established in order to determine minimum and maximum depths of cut in the additional region of the chip breaking chart. In the end, the analytical critical feed rate model is extended to the cases that the depth of cut is smaller than nose radius.
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Davis, Brian, David Dabrow, Licheng Ju, Anhai Li, Chengying Xu, and Yong Huang. "Study of Chip Morphology and Chip Formation Mechanism During Machining of Magnesium-Based Metal Matrix Composites." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-3052.

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Magnesium (Mg) and its alloys are among the lightest metallic structural materials, making them very attractive for use in the aerospace and automotive industries. Recently, Mg has been used in metal matrix composites (MMCs), demonstrating significant improvements in mechanical performance. However, the machinability of Mg-based MMCs is still largely elusive. In this study, Mg-based MMCs are machined using a wide range of cutting speeds in order to elucidate both the chip morphology and chip formation mechanism. Cutting speed is found to have the most significant influence on both the chip morphology and chip formation mechanism, with the propensity of discontinuous, particle-type chip formation increasing as the cutting speed increases. Saw-tooth chips are found to be the primary chip morphology at low cutting speeds (lower than 0.5 m/s), while discontinuous, particle-type chips prevail at high cutting speeds (higher than 1.0 m/s). Using in situ high speed imaging, the formation of the saw-tooth chip morphology is found to be due to crack initiation at the free surface. However, as the cutting speed (and strain rate) increases, the formation of the discontinuous, particle-type chip morphology is found to be due to crack initiation at the tool tip. In addition, the influences of tool rake angle, particle size, and particle volume fracture are investigated and found to have little effect on the chip morphology and chip formation mechanism.
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Ng, Eu-gene, Tahany I. El-Wardany, Mihaela Dumitrescu, and Mohamed A. Elbestawi. "3D Finite Element Analysis for the High Speed Machining of Hardened Steel." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33633.

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The objective of this research is to illustrate the importance of modeling the right/similar chip formation with experimental results. When machining ‘difficult to cut’ materials at high cutting speeds, segmented chips are usually formed. When modeling the cutting process, it is important to consider the type of chip formed, as this affects the stress field generated in the workpiece. The modeled chips have to be the same type as those obtained during experimental work. However very few published models were capable of modeling the 3D oblique cutting with segmented chip formation. This paper presents a finite element model that includes a user customized catastrophic slip criterion and crack propagation module to model segmented chip formation in orthogonal & oblique machining of hardened AISI 4340 steel (52±2 HRC). Predicted cutting forces and chip thickness for segmented chips were in close agreement with experimental data. The modeled plastic strain and temperature distribution/magnitude were very different for continuous and segmented chip formation.
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Fang, Ning. "Computer Simulation of Three-Dimensional Chip Kinematics in Machining." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-39110.

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Effective chip control is an essential requirement of modern automatic and computer numerically controlled (CNC) machining operations. This paper asserts that the study of chip control can be divided into three branches—chip dynamics, chip kinematics, and chip breaking mechanics—each having different research emphasis. Chip kinematics is becoming a promising research area, serving as an essential bridge between the other two branches. In developing the mathematical formulation of chip kinematics, this paper introduces three patterns of chip curl, i.e., up-, side-, and lateral-curl, followed by the establishment of a Cartesian coordinate system. Chip form is measured by three geometric parameters: the resultant radius R of chip curl, the pitch P of the chip helix, and the inclined angle θ of the helical axis to the helical surface. It is revealed that the final chip form is determined by four governing variables: chip up-, side-, and lateral-curl radii (Ru, Rs, and Rl) and chip side-flow angle (ηs). The effect of Ru, Rs, Rl, and ηs on chip forms is investigated. A set of new chip kinematical equations and computer-simulated chip forms are also established in this paper.
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Yeung, Ho, Yang Guo, Narayan K. Sundaram, James B. Mann, W. Dale Compton, and Srinivasan Chandrasekar. "Mechanics of Modulation Assisted Machining." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1068.

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Abstract:
The controlled application of low-frequency modulation to machining — Modulation Assisted Machining (MAM) — effects discrete chip formation and disrupts the severe contact condition at the tool-chip interface. The role of modulation in reducing the specific energy of machining with ductile alloys is demonstrated using direct force measurements. The observed changes in energy dissipation are analyzed and explained, based on the mechanics of chip formation.
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10

Chandra, Abhijit, Pavan Karra, Adam Bragg, Jie Wang, and Gap Yong Kim. "Chip Segmentation in Machining: A Study of Deformation Localization Characteristics in Ti6Al4V." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1070.

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Abstract:
Chip segmentation by deformation localization is an important process in a certain range of velocities and might be desirable in reducing cutting forces and by improving chips’ evacuation, whereas few studies of practical criteria to calculate shear band spacing are available in literature. This paper extends nonlinear dynamics model for chip segmentation by allowing time varying orientation of the shear plane that are pronounced in strain hardening materials. The model extends the non-linear dynamics approach with additional state variables to the Burns and Davies approach. The model is simulated numerically to predict the shear bands of the chip. The numerical simulation of the model is compared with experimental observations and is in agreement with experimental observations in Ti6Al4V. This offers guidance to predict shear band spacing of other materials.
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