Microstructure and mechanical behavior of pulsed laser surface melted AISI D2 cold work tool steel

2013 ◽  
Vol 265 ◽  
pp. 653-662 ◽  
Author(s):  
N. Yasavol ◽  
A. Abdollah-zadeh ◽  
M. Ganjali ◽  
S.A. Alidokht
Keyword(s):  
Mechanical Behavior ◽  
Tool Steel ◽  
Cold Work ◽  
Pulsed Laser ◽  
Laser Surface ◽  
Aisi D2 ◽  
Cold Work Tool Steel

The effectiveness of coatings when turning hardened cold work tool steel AISI D2 (60 HRC)

2008 ◽  
Vol 4 (1) ◽  
pp. 63
Author(s):  
Ahmad Kamely Mohamad ◽  
Noordin Mohd Yusof ◽  
Ali Ourdjini ◽  
Vellore Chelvaraj Venkatesh
Keyword(s):  
Tool Steel ◽  
Cold Work ◽  
Aisi D2 ◽  
Steel Aisi ◽  
Cold Work Tool Steel

Determining Ms temperature on a AISI D2 cold work tool steel using magnetic Barkhausen noise

2013 ◽  
Vol 577 ◽  
pp. S726-S730 ◽  
Author(s):  
Edgar Apaza Huallpa ◽  
J. Capó Sánchez ◽  
L.R. Padovese ◽  
Hélio Goldenstein
Keyword(s):  
Tool Steel ◽  
Cold Work ◽  
Barkhausen Noise ◽  
Magnetic Barkhausen Noise ◽  
Aisi D2 ◽  
Cold Work Tool Steel

Determination of Surface and Hole Quality in Drilling of AISI D2 Cold Work Tool Steel Using MPMR, MARS and LSSVM

2014 ◽  
Vol 13 (04) ◽  
pp. 237-246 ◽  
Author(s):  
Pijush Samui
Keyword(s):  
Tool Steel ◽  
Cold Work ◽  
Cutting Speed ◽  
Least Square ◽  
Support Vector ◽  
Hole Quality ◽  
Aisi D2 ◽  
Cemented Carbide Drills ◽  
Coated Cemented Carbide ◽  
Cold Work Tool Steel

This paper adopts Minimax Probability Machine Regression (MPMR), Multivariate Adaptive Regression Spline (MARS), and Least Square Support Vector Machine (LSSVM) for prediction of surface and hole quality in drilling of AISI D2 cold work tool steel with uncoated titanium nitride (TiN) and titanium aluminum nitride (TiAlN) monolayer- and TiAlN/TiN multilayer-coated-cemented carbide drills. MPMR is a probabilistic model. MARS is a nonparametric regression technique. LSSVM is developed based on statistical learning algorithm. Cutting tool (t), Feed rate (fr)(mm/rev), and Cutting speed (v)(m/min) have been adopted as inputs of MPMR, MARS, and LSSVM. The output of MPMR, MARS, and LSSVM is Surface roughness (rs) (μm) and Roundness error (re) (μm). A comparative study has been presented between the developed models. The results show that the developed model gives excellent performance.

Acoustic Emission and Fracture Characteristics of AISI D2 Tool Steel Tempered at Different Temperatures

2010 ◽  
Author(s):  
M. Ahmadi Najafabadi ◽  
J. Teymuri Shandi
Keyword(s):  
Heat Treatment ◽  
Acoustic Emission ◽  
Tool Steel ◽  
Cold Work ◽  
Tempering Temperature ◽  
Average Value ◽  
Different Temperatures ◽  
Aisi D2 ◽  
Cold Work Tool Steel ◽  
Ae Signals

Acoustic emission (AE) has been known as an excellent technique to monitor crack propagation and fracture mechanism. For more domination on AE behavior of materials, comprehensive knowledge on effective parameters is necessary. Heat treatment as one of the important factors on AE characteristics of a material must be considered. This investigation is primarily aimed at studying the effect of tempering heat treatment on characteristics of acoustic emission signals monitored during tension tests of a cold-work tool steel. Single edge notched samples of AISI D2 cold-work tool steel were prepared. Then, respectively annealing, austenitizing and tempering were performed. Tempering was carried out at 5 different temperatures from 0 to 575 C. Finally, samples were loaded at tension and AE signals recorded synergistically. Analyzing of the characteristics of AE signals showed that: (a) In all tempering conditions, the AECC increases slowly at the beginning and rapidly at the point of crack growth, although at higher tempering temperatures we have gradual rise in AECC plot; (b) Increasing tempering temperature, average value of AE count number, amplitude, energy and peak frequency decreases; (c) At 525 C, because of secondary hardening, average value of investigated AE parameters increase strongly and (d) analyzing the relation between fracture mode, AE characteristics and tempering temperature showed that special AE behavior of specimens tempered at 525 C is because of the transformation of retained austenite in ferritic matrix.

scholarly journals Influence of Laser Surface Texturing Sequence on Fatigue Properties of Coated Cold Work Tool Steel

Metals ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1636
Author(s):  
Marko Sedlaček ◽  
Agnieszka Zuzanna Guštin ◽  
Borut Žužek
Keyword(s):  
Fatigue Life ◽  
Tool Steel ◽  
Cold Work ◽  
Surface Texturing ◽  
Laser Surface ◽  
Laser Surface Texturing ◽  
Fatigue Properties ◽  
Laser Texturing ◽  
Coating Deposition ◽  
Cold Work Tool Steel

The aim of this research was to investigate the influence of laser surface texturing sequence on the fatigue properties of cold-work tool steel. For this reason, polished hourglass-type test specimens made from cold-work tool steel (K890) were surface textured using laser texturing. Surface textures were introduced before and after hard coating deposition (TiAlN) with the aim to investigate the sequence of surface-texturing process. It was found that coating deposition prolongs the fatigue life. The fatigue life behaviour can be influenced also by the sequence of surface texturing. In the case when laser texturing is done after coating deposition, it suffers in fatigue life properties. From a lower magnification, a fractured surface looks like a quasi-ductile fracture, but a closer look reveals that there is very little plastic deformation and some small flat regions can be seen with clear evidence of a brittle fracture mechanism with cleavage. Due to low fracture toughness of investigated steel, no fatigue striations of crack growth steps were found on the fractured surfaces.

Mechanical behavior of borides formed on borided cold work tool steel

2001 ◽  
Vol 135 (2-3) ◽  
pp. 173-177 ◽  
Author(s):  
Saduman Sen ◽  
Ibrahim Ozbek ◽  
Uğur Sen ◽  
Cuma Bindal
Keyword(s):  
Mechanical Behavior ◽  
Tool Steel ◽  
Cold Work ◽  
Cold Work Tool Steel

GPR and RVM-Based Predictions of Surface and Hole Quality in Drilling of AISI D2 Cold Work Tool Steel

2015 ◽  
pp. 736-762
Author(s):  
Pijush Samui ◽  
H. Yildirim Dalkilic
Keyword(s):  
Surface Roughness ◽  
Tool Steel ◽  
Basis Function ◽  
Feed Rate ◽  
Cold Work ◽  
Cutting Speed ◽  
Hole Quality ◽  
Roundness Error ◽  
Aisi D2 ◽  
Cold Work Tool Steel

This chapter examines the capability of Gaussian Process Regression (GPR) and Relevance Vector Machine (RVM) for prediction of surface and hole quality in drilling of AISI D2 cold work tool steel. This chapter uses GPR and RVM as regression techniques. The database contains information about cutting tool, feed rate, cutting speed, surface roughness, and roundness error. Cutting tool, feed rate, and cutting speed are considered inputs of GPR and RVM. The outputs of GPR and RVM are surface roughness and roundness error. In RVM, radial basis function is adopted as kernel function. GPR uses radial basis function as covariance function. The obtained variance can be used to determine uncertainty. A sensitivity analysis is also carried out. This chapter gives robust models based on RVM and GPR for prediction of surface and hole quality in drilling of AISI D2 cold work tool steel.

scholarly journals Study on Thixojoining Process Using Partial Remelting Method

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
M. N. Mohammed ◽  
M. Z. Omar ◽  
M. S. Salleh ◽  
K. S. Alhawari
Keyword(s):  
Stainless Steel ◽  
Tool Steel ◽  
Cold Work ◽  
Interfacial Structure ◽  
Smooth Transition ◽  
304 Stainless Steel ◽  
Partial Remelting ◽  
Aisi D2 ◽  
Welding Processes ◽  
Cold Work Tool Steel

Cold-work tool steel is considered to be a nonweldable metal due to its high percentage content of carbon and alloy elements. The application of a new process of the semisolid joining of two dissimilar metals is proposed. AISI D2 cold-work tool steel was thixojoined to 304 stainless steel by using a partial remelting method. After thixojoining, microstructural examination including metallographic analysis, energy dispersive spectroscopy (EDS), and Vickers hardness tests was performed. From the results, metallographic analyses along the joint interface between semisolid AISI D2 and stainless steel showed a smooth transition from one to another and neither oxides nor microcracking was observed. Hardness values obtained from the points in the diffusion zone were much higher than those in the 304 stainless steel but lower than those in the AISI D2 tool steel. The study revealed that a new type of nonequilibrium diffusion interfacial structure was constructed at the interface of the two different types of steel. The current work successfully confirmed that avoidance of a dendritic microstructure in the semisolid joined zone and high bonding quality components can be achieved without the need for force or complex equipment when compared to conventional welding processes.

A comprehensive review on cold work of AISI D2 tool steel

2017 ◽  
Vol 115 (1) ◽  
pp. 104 ◽  
Author(s):  
Mohd Aidil Shah bin Abdul Rahim ◽  
Mohamad bin Minhat ◽  
Nur Izan Syahriah Binti Hussein ◽  
Mohd Shukor bin Salleh
Keyword(s):  
Tool Steel ◽  
Cold Work ◽  
Alloy Element ◽  
Steel Matrix ◽  
Rare Earth Alloy ◽  
Aisi D2 ◽  
Aisi D2 Tool Steel ◽  
Cold Work Tool Steel ◽  
Steel Industries ◽  
Made In

As a common material in mould and die application, AISI D2 cold work tool steel has proven to be a promising chosen material in the industries. However, challenges remain in using AISI D2 through a modified version with a considerable progress having been made in recent years. This paper provides a critical review of the original as-cast AISI D2 cold work tool steel up to the modified version. The main purpose is to develop an understanding of current modified tool steel trend; the machinability of AISI D2 (drilling, milling, turning, grinding and EDM/WEDM; and the microstructure evolution and mechanical properties of these cold work tool steels due to the presence of alloy materials in the steel matrix. The doping of rare earth alloy element, new steel fabrication processes, significant process parameter in machinability and surface treatment shows that there have been few empirical investigations into these cold work tool steel alloys. This study has discovered that cold work tool steel will remain to be explored in order to survive in the steel industries.

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