Comparison of the sliding wear process of various cast irons in the laser-surface-melted and as-cast forms

Wear ◽  
1986 ◽  
Vol 113 (2) ◽  
pp. 233-245 ◽  
Author(s):  
P.W. Leech
Keyword(s):  
Sliding Wear ◽  
Laser Surface ◽  
Cast Irons ◽  
Wear Process

Wear Behavior of Laser Surface-Hardened Gray and Ductile Cast Irons: Part 1—Sliding Wear

1986 ◽  
Vol 108 (3) ◽  
pp. 326-333 ◽  
Author(s):  
P. A. Molian ◽  
Mark Baldwin
Keyword(s):  
Sliding Wear ◽  
Continuous Wave ◽  
Wear Behavior ◽  
Test System ◽  
Case Depth ◽  
Laser Surface ◽  
Dramatic Improvement ◽  
Cast Irons ◽  
Severe Wear ◽  
Depth Analysis

The influence of laser surface transformation hardening on the sliding wear characteristics and mechanisms of ASTM class-40 gray and 80-55-06 ductile cast irons was investigated. A 1.2 kw, continuous wave, CO2 gas laser was employed to scan the beam successively across the surfaces of cast irons to generate hardened and tempered layers with various case depths. A pin-on-disk wear test system was then used to study the wear behavior as functions of case depth, microstructure, hardness, and surface roughness. As expected, a dramatic improvement in resistance to scuffing and sliding wear was obtained. However, the most significant result was the occurrence of negligible oxidational wear for a load range that increased with an increase in case depth. Resistance to mild and severe wear, mild-to-severe wear transition load, and frictional heating were increased with an increase in case depth. Analysis of worn surfaces and wear debris revealed that negligible oxidational wear in laser-hardened irons is due to two mechanisms: oxidation and adhesion of oxide to the substrate. In contrast, the mild oxidational wear of untreated irons occurs through the formation of loose oxide debris. The mechanisms of severe wear were plastic deformation, delamination, and adhesion; the rate process was controlled by adhesion for laser hardened irons and delamination for untreated irons.

The Effect of Tooth Wear on the Vibration Spectrum of a Spur Gear Pair

2001 ◽  
Vol 123 (3) ◽  
pp. 311-317 ◽  
Author(s):  
J. H. Kuang ◽  
A. D. Lin
Keyword(s):  
Dynamic Load ◽  
Sliding Wear ◽  
Vibration Spectrum ◽  
Tooth Wear ◽  
Spur Gear ◽  
Damping Factor ◽  
Gear Pair ◽  
Mesh Stiffness ◽  
Wear Process ◽  
The Mathematical Model

In this paper, the effect of tooth wear on the vibration spectrum variation of a rotating spur gear pair is studied. In order to approximate the dynamic characteristics of an engaging spur gear pair, the load sharing alternation, position dependent mesh stiffness, damping factor and friction coefficient are considered in the mathematical model. The wear prediction model proposed by Flodin et al. is used to simulate the tooth profile wear process. The variation of the vibration spectra introduced from the interaction between the sliding wear and the dynamic load is simulated and analyzed. Numerical results indicate that the dynamic load histogram of an engaging spur gear pair may change greatly with the tooth wear. This finding implies that the variation of the gear vibration spectrum might be used to monitor the tooth wear of an engaging spur gear pair.

Multi-response optimization of tribological characteristics of aluminum MMCs using PCA

2014 ◽  
Vol 10 (2) ◽  
pp. 276-287
Author(s):  
Rajesh Siriyala ◽  
A. Gopala Krishna ◽  
P. Rama Murthy Raju ◽  
M. Duraiselvam
Keyword(s):  
Sliding Wear ◽  
Wear Behavior ◽  
Principal Component ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Sliding Velocity ◽  
Content Type ◽  
Wear Process ◽  
Response Optimization ◽  
Sliding Distance

Purpose – Since, wear is the one of the most commonly encountered industrial problems leading to frequent replacement of components there is a need to develop metal matrix composites (MMCs) for achieving better wear properties. The purpose of this paper is to fabricate aluminum MMCs to improve the dry sliding wear characteristics. An effective multi-response optimization approach called the principal component analysis (PCA) was used to identify the sets of optimal parameters in dry sliding wear process. Design/methodology/approach – The present work investigates the dry sliding wear behavior of graphite reinforced aluminum composites produced by the molten metal mixing method by means of a pin-on-disc type wear set up. Dry sliding wear tests were carried on graphite reinforced MMCs and its matrix alloy sliding against a steel counter face. Different contact stress, reinforcement percentage, sliding distance and sliding velocity were selected as the control variables and the response selected was wear volume loss (WVL) and coefficient of friction (COF) to evaluate the dry sliding performance. An L25 orthogonal array was employed for the experimental design. Optimization of dry sliding performance of the graphite reinforced MMCs was performed using PCA. Findings – Based on the PCA, the optimum level parameters for overall principal component (PC) of WVL and COF have been identified. Moreover, analysis of variance was performed to know the impact of individual factors on overall PC of WVL and COF. The results indicated that the reinforcement percentage was found to be most effective factor among the other control parameters on dry sliding wear followed by sliding distance, sliding velocity and contact stress. Finally the wear surface morphology of the composites has been investigated using scanning electron microscopy. Practical implications – Various manufacturing techniques are available for processing of MMCs. Each technique has its own advantages and disadvantages. In particular, some techniques are significantly expensive compared to others. Generally the manufacturer prefers the low cost technique. Therefore stir casting technique which was used in this paper for manufacturing of Aluminum MMCs is the best alternative for processing of MMCs in the present commercial sectors. Since the most important criteria of a dry sliding wear behavior is to provide lower WVL and COF, this study has intended to prove the application of PCA technique for solving multi objective optimization problem in wear applications like piston rings, piston rods, cylinder heads and brake rotors, etc. Originality/value – Application of multi-response optimization technique for evaluation of tribological characteristics for Aluminum MMCs made up of graphite particulates is a first-of-its-kind approach in literature. Hence PCA method can be successfully used for multi-response optimization of dry sliding wear process.

Characterization of dry sliding wear resistance of laser surface hardened En 8 steel

2005 ◽  
Vol 167 (1) ◽  
pp. 83-90 ◽  
Author(s):  
Rakesh Kaul ◽  
P. Ganesh ◽  
Pragya Tiwari ◽  
R.V. Nandedkar ◽  
A.K. Nath
Keyword(s):  
Wear Resistance ◽  
Sliding Wear ◽  
Laser Surface ◽  
Dry Sliding Wear ◽  
Dry Sliding

Study on Thermal Fatigue Resistance of Non-Smooth Cast Iron Treated by Laser Surface Alloying of CrNi Powders

2011 ◽  
Vol 291-294 ◽  
pp. 1405-1411
Author(s):  
Tong Xin ◽  
Zhou Hong ◽  
Liu Min
Keyword(s):  
Cast Iron ◽  
Fatigue Resistance ◽  
Thermal Fatigue ◽  
Fatigue Behavior ◽  
Laser Surface ◽  
Surface Alloying ◽  
Laser Melting ◽  
Cast Irons ◽  
Laser Surface Alloying ◽  
Thermal Fatigue Resistance

The past studies indicated that thermal fatigue resistance of cast irons could be improved by partly laser melting treatment. However the only disadvantage of this technology is that the enhancement of thermal fatigue resistance would be limited because of the fixed chemical composition of sample matrix. For this purpose, the laser surface alloying of CrNi was selected for changing both the compositions and the microstructures of laser treated zone, and the effects of alloy powder compositions on thermal fatigue behavior were also investigated in this paper. The results indicate that the alloy elements distribute homogeneously, and their contents increase markedly in the non-smooth unit on the alloyed layer. The non-smooth unit is strengthened further compared with laser melting treatment. Thermal fatigue resistance of cast iron is enhanced evidently by laser surface alloying of CrNi powders, and for all samples tested, those treated with 25%Cr-75%Ni powders have the best thermal fatigue resistance.

Cast Iron Structures Produced by Laser Surface Melting and Alloying

1984 ◽  
Vol 34 ◽  
Author(s):  
I. Hawkes ◽  
L. Lundberg ◽  
A. M. Walker ◽  
W. M. Steen ◽  
D. R. F. West
Keyword(s):  
Rapid Solidification ◽  
Structural Information ◽  
Surface Melting ◽  
Laser Surface ◽  
Surface Structures ◽  
Laser Surface Melting ◽  
Spheroidal Graphite ◽  
Surface Alloying ◽  
Cast Irons ◽  
Structures And Properties

Laser surface melting and alloying provide a flexible route for modifying surface structures and properties. Potential technological benefits include improvement of properties such as resistance to corrosion and wear. The technique can also be used to obtain basic structural information for materials solidified over a range of rapid solidification rates. Laser surface melting of cast irons has been quite widely investigated [e.g. 1–4] using various initial structural states, including flake and spheroidal graphite irons; substantial surface hardening has been achieved from the white iron structures resulting from the rapid solidification. In the field of laser surface alloying a number of investigations have used ferrous substrates [5–9].

Dry sliding wear behavior of TC11 alloy at 500°C: Influence of laser surface texturing

2015 ◽  
Vol 92 ◽  
pp. 136-145 ◽  
Author(s):  
Qichun Sun ◽  
Tianchang Hu ◽  
Hengzhong Fan ◽  
Yongsheng Zhang ◽  
Litian Hu
Keyword(s):  
Sliding Wear ◽  
Wear Behavior ◽  
Surface Texturing ◽  
Laser Surface ◽  
Laser Surface Texturing ◽  
Dry Sliding Wear ◽  
Dry Sliding

scholarly journals Optimization of Dry Sliding Wear Parameters of Titanium Alloy using Taguchi Method

2019 ◽  
Vol 8 (11) ◽  
pp. 3140-3143
Keyword(s):  
Titanium Alloy ◽  
Taguchi Method ◽  
Process Parameters ◽  
Sliding Wear ◽  
Significant Contribution ◽  
Dry Sliding Wear ◽  
Wear Properties ◽  
Wear Process ◽  
Mechanical And Tribological Properties ◽  
Sliding Distance

The present work focuses on the study of mechanical and tribological properties of Ti-3Al-2.5V titanium alloy. The most influencing process parameters of wear process are investigated in this work. Taguchi technique was used to carry out the experiments. The results indicate that load, sliding distance and sliding velocity were the process parameters which make significant contribution in wear properties. The optimal wear process parameters were found using the regression equation developed by the taguchi method

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