• Title/Summary/Keyword: tool steel

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Estimation of Hardfacing Material and Thickness of STD61 Hot-Working Tool Steels Through Three-Dimensional Heat Transfer and Thermal Stress Analyses (3 차원 열전달/열응력 해석을 통한 STD61 열간 금형강의 하드페이싱 재료 및 두께 예측)

  • Park, Na-Ra;Ahn, Dong-Gyu
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.4
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    • pp.427-436
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    • 2014
  • The goal of this paper is to estimate proper hardfacing material and thickness of STD61 hot-working tool steel through three-dimensional heat transfer and thermal stress analyses. Stellite6, Stellite21 and 19-9DL superalloys are chosen as alternative hardfacing materials. The influence of hardfacing materials and thicknesses on temperature, thermal stress and thermal strain distributions of the hardfaced part are investigated using the results of the analyses. From the results of the investigation, it has been noted that a hardfacing material with a high conductivity and a thinner hardfaced layer are desired to create an effective hardfacing layer in terms of heat transfer characteristics. In addition, it has been revealed that the deviation of effective stress and principal strain in the vicinity of the joined region are minimized when the Stellite21 hardfaced layer with the thickness of 2 mm is created on the STD61. Based on the above results, a proper hardfacing material and thickness for STD61 tool steel have been estimated.

Improvement in Prediction Accuracy of Springback for Stamping CAE considering Tool Deformation (금형변형을 고려한 성형 CAE에서의 스프링백 예측정확도 향상)

  • Park, J.S.;Choi, H.J.;Kim, S.H.
    • Transactions of Materials Processing
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    • v.23 no.6
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    • pp.380-385
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    • 2014
  • An analysis procedure is proposed to improve the prediction accuracy of springback as well as to evaluate the structural stability of the tooling used for fabricating a side sill part from UHSS. The analysis couples the stamping analysis and the subsequent analysis of the tool structural. The deformation and stress results for the tool structure are obtained from the proposed analysis procedure. The results show that the amount of deformation and stresses are so high that the tool structure must be reinforced and the tooling design must consider structural stability. Springback is predicted with CAE in order to compare the prediction accuracy between the given tool geometry and the geometry from the structural analysis. The simulation results with the deformed tool can predict the experimental springback tendency accurately.

Evaluation Tool Life and Cutting Characteristics of Carbide Hob TiAlN Coating Surface Polishing Using Aero Lap Polishing Technology and Multi-con (Multi-con와 ALPT을 활용한 TiAlN코팅층 표면연마 초경호브의 절삭특성 및 공구수명 평가)

  • Cheon, Jong-Pil;Pyoun, Young-Sik
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.21 no.5
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    • pp.848-854
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    • 2012
  • SCM420 steel cutting gear to improve the durability is quenched. When quenching, increases surface hardness, a change of the physical properties and machinability or fall. This study, using a solid carbide hobs skiving hobbing gear cutting finishing. And cutting tool solid carbide TiAlN coating hove when TiAlN coating on the surface of multi-con polishing hob conducted aero lap nano polishing for each cutting. Experimental results conducted aero lap nano coating on the surface polishing tool machinability was excellent. And aero lap nano polishing tool results were reduced 2.5 times the tool wear compared to TiAlN coated tools. Excellent results were 1.42 times longer tool life.

A Study on the Cutting Characteristics and Detection of the Abnormal Tool State in Hard Turning (고경도강 선삭 시 절삭특성 및 공구 이상상태 검출에 관한 연구)

  • Kim Tae Young;Shin Hyung Gon;Lee Sang Jin;Lee Han Gyo
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.14 no.6
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    • pp.16-21
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    • 2005
  • The cutting characteristics of hardened steel(AISI 52100) by PCBN tools is investigated with respect to cutting force, workpiece surface roughness and tool flank wear by the vision system. Hard Owning is carried out with various cutting conditions; spindle rotational speed, depth of cut and feed rate. Backpropagation neural networks(BPNs) are used for detection of tool wear. The input vectors of neural network comprise of spindle rotational speed, feed rates, vision flank wear, and thrust force signals. The output is the tool wear state which is either usable or failure. The detection of the abnormal states using BPNs achieves $96.8\%$ reliability even when the spindle rotational speed and feedrate are changed.

Life and Mechanical Properties of Hot Former Die for Bearing Race using P/M High Speed Steel (분말고속도공구강을 활용한 베어링 레이스 열간 단조 금형의 수명 및 기계적 특성)

  • Hong, Seong-Hyeon;Bae, Jong-Soo
    • Journal of Powder Materials
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    • v.14 no.6
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    • pp.367-371
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    • 2007
  • P/M high speed steel (1.26% C, 4.42% Cr, 6.54% W, 4.92% Mo, 3.21 % V, 8.77% Co, bal. Fe) was applied to hot former die. It showed that the die life became 2.7 times higher than that of cast/wrought SKH 55 tool steel which is commercially used. The increase of die life was corresponding to the improved hardness and transverse rupture strength of PM high speed steel due to the finer grain and carbide as well as the uniform carbide distribution. The P/M high speed steel with the promoted die life could be an alternative to the conventional SKH55.

Iron Loss Comparison between Soft Magnetic Composite Core and Laminated Steel Core in Axial Flux Machine (축방향 자속형 전동기에서 연자성복합체 코어와 적층 전기강판 코어의 철손 비교)

  • Lee, Minhyeok;Nam, Kwanghee
    • Proceedings of the KIPE Conference
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    • 2015.11a
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    • pp.217-218
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    • 2015
  • Two axial flux permanent magnet (AFPM) machines using soft magnetic composite (SMC) and lamination steel are studied. Generally stator cores of AFPM machines are manufactured using SMC because AFPM machines need 3 dimensional core structures. However, SMC cores have very disadvantages in magnetic properties. Especially permeability value is much lower than that of lamination steel, so magnetic field density is also lower. In terms of core losses, SMC cores have much larger loss values than lamination steel cores because SMC core can't be laminated. In this study, AFPM machine was designed using laminated steel, and iron losses in two machines using SMC and laminated steel were studied. Simulations were carried out by a commercial 3-D FEM tool.

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Optimum distribution of steel frame assembly for seismic retrofit of framed structures

  • Michael Adane;Seungho Chun;Jinkoo Kim
    • Steel and Composite Structures
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    • v.50 no.3
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    • pp.337-345
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    • 2024
  • This research proposed a particle swarm optimization (PSO) based seismic retrofit design of moment frame structures using a steel frame assembly. Two full scale specimens of the steel frame assembly with different corner details were attached to one-story RC frames for seismic retrofit, and the lateral load resisting capacities of the retrofitted frames subjected to cyclic loads were compared with those of a bare RC frame. The open source software framework Opensees was used to develop an analytical model for validating the experimental results. The developed analytical model and the optimization scheme were applied to a case study structure for economic seismic retrofit design, and its seismic performance was assessed before and after the retrofit. The results show that the developed steel frame assembly was effective in increasing seismic load resisting capability of the structure, and the PSO algorithm could be applied as convenient optimization tool for seismic retrofit design of structures.

Machinability investigation and sustainability assessment in FDHT with coated ceramic tool

  • Panda, Asutosh;Das, Sudhansu Ranjan;Dhupal, Debabrata
    • Steel and Composite Structures
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    • v.34 no.5
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    • pp.681-698
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    • 2020
  • The paper addresses contribution to the modeling and optimization of major machinability parameters (cutting force, surface roughness, and tool wear) in finish dry hard turning (FDHT) for machinability evaluation of hardened AISI grade die steel D3 with PVD-TiN coated (Al2O3-TiCN) mixed ceramic tool insert. The turning trials are performed based on Taguchi's L18 orthogonal array design of experiments for the development of regression model as well as adequate model prediction by considering tool approach angle, nose radius, cutting speed, feed rate, and depth of cut as major machining parameters. The models or correlations are developed by employing multiple regression analysis (MRA). In addition, statistical technique (response surface methodology) followed by computational approaches (genetic algorithm and particle swarm optimization) have been employed for multiple response optimization. Thereafter, the effectiveness of proposed three (RSM, GA, PSO) optimization techniques are evaluated by confirmation test and subsequently the best optimization results have been used for estimation of energy consumption which includes savings of carbon footprint towards green machining and for tool life estimation followed by cost analysis to justify the economic feasibility of PVD-TiN coated Al2O3+TiCN mixed ceramic tool in FDHT operation. Finally, estimation of energy savings, economic analysis, and sustainability assessment are performed by employing carbon footprint analysis, Gilbert approach, and Pugh matrix, respectively. Novelty aspects, the present work: (i) contributes to practical industrial application of finish hard turning for the shaft and die makers to select the optimum cutting conditions in a range of hardness of 45-60 HRC, (ii) demonstrates the replacement of expensive, time-consuming conventional cylindrical grinding process and proposes the alternative of costlier CBN tool by utilizing ceramic tool in hard turning processes considering technological, economical and ecological aspects, which are helpful and efficient from industrial point of view, (iii) provides environment friendliness, cleaner production for machining of hardened steels, (iv) helps to improve the desirable machinability characteristics, and (v) serves as a knowledge for the development of a common language for sustainable manufacturing in both research field and industrial practice.

A study on detection of tool fracture and chipping using acoustic emission (Acoustic emission을 이용한 공구파손 및 chipping의 탐지에 관한 연구)

  • 강명순;한응교;최성주
    • Journal of the korean Society of Automotive Engineers
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    • v.8 no.3
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    • pp.28-36
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    • 1986
  • This study was investigated the feasibility of AE application on in-process detection of tool fracture and chipping. Carbon steel SM45C workpiece with longitudinal slots was turned interruptedly on a lathe. AE RMS signal at tool fracture was observed and also the tangential force and the feed observed at the time of tool fracture, the levels of tangential force and the feed force at the time of fracture decrease considerably. In chipping, high level AE signal was observed but there were no changes of cutting force. Peak AE RMS squared is proportional to the area of tool fracture and resultant force. Fracture model of tool fracture is proposed as $V_{p}$ = $C_{1}$ $E_{1}$F(.DELTA. A)$_{0.5}$ and peak AE RMS shows strong correlation with the fracture parameter F(.DELTA.A)$^{0.5}$.

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Machining Technology of Free From Surface using Controlled of Cutting Speed (절삭속도 일정제어를 통한 자유곡명의 가공기술)

  • 김경균;강명창;이득우;정융호;김정석
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.806-809
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    • 2000
  • The factors which can improve tool life in machining are consisted of tool geometries, tool materials, coating methods. cutting environments, cutting conditions and so on. Cutting speed in cutting conditions is one of the important factors which can directly influence on the tool life. This paper deals the machinability which is concerned about the cutting direction and the tilt angle of fret form surface in hot die steel(STD I I). The NC datum were analysrd and the effective tool diameters were calculated according to the change of tilt angle the program which can continue the cutting speed with the change of spindle revolution is developed.

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