Hardening of Steels, L. de C.F. Canale and G.E. Totten Quenching of Aluminum Alloys, R.T. Shuey and M. Tiryakiogliu Quenching of Titanium Alloys, L. Meekisho, X. Yao, and G.E. Totten Mechanical Properties of Ferrous and Nonferrous Alloys after Quenching, H.-J. Spies Thermo- and Fluid-Dynamic Principles of Heat Transfer during Cooling, F. Mayinger Heat Transfer during Cooling of Heated Metals with Vaporizable Liquids, R. Jeschar, E. Specht, and C. Kohler Wetting Kinematics, H.M. Tensi Wetting Kinetics and Quench Severity of Selected Vegetable Oils for Heat Treatment, K.N. Prabhu Residual Stresses after Quenching, V. Schulze, O. Vohringer, and E. Macherauch Effect of Workpiece Surface Properties on Cooling Behavior, F. Moreaux, G. Beck, and P. Archambault Determination of Quenching Power of Various Fluids, H.M. Tensi and B. Liscic Types of Cooling Media and Their Properties, W. Luty Gas Quenching, G. Belinato, L. de C.F. Canale, and G.E. Totten Techniques of Quenching, H.E. Boyer, P. Archambault, and F. Moreaux Intensive Steel Quenching Methods, N.I. Kobasko Prediction of Hardness Profi le in Workpiece Based on Characteristic Cooling Parameters and Material Behavior during Cooling, H.M. Tensi and B. Liscic Simulation of Quenching, C. Simsir and C. Hakan Gur Appendices Index

Quenching theory and technology

Effect of substrate surface roughness on wetting behaviour of vegetable oils

https://tandfonline.com/doi/pdf/10.1080/14686996.2019.1591168

Structure and properties of Sn-Cu lead-free solders in electronics packaging

Effect of CNT concentration and agitation on surface heat flux during quenching in CNT nanofluids

Friction stir welding (FSW) method becomes an effective technique for welding dissimilar alloys such as AA2024 and AA5083 as the conventional fusion welding methods are not very suitable for welding the dissimilar alloysand cause many defects during solidification process. Since the strength of FSWedjoints depends on the process parameters, a new method was used in this study to predict the tensile behavior of friction stir welded AA5083 and AA2024 aluminum alloy joints in terms of tensile elongation (TE) and ultimate tensile strength (UTS). A new metaheuristic algorithm called Marine Predators Algorithm (MPA) has been integrated with Random Vector Functional Link (RVFL) network to improve the prediction accuracy. Rotational speed, welding speed, tool axial force, and pin profile were used as input parameters while UTS and TE works as the corresponding outputs. The MPA-RVFL model was tested and validated,a great agreement was demonstrated between the experimental results and the predicted results indicating that the developed technique is accurate and reliable to predict the tensile behavior of welded aluminum joints.

Utilization of Random Vector Functional Link integrated with Marine Predators Algorithm for tensile behavior prediction of dissimilar friction stir welded aluminum alloy joints

Comparative study of heat transfer and wetting behaviour of conventional and bioquenchants for industrial heat treatment

An investigation was conducted to study the suitability of vegetable oils such as sunflower, coconut, groundnut, castor, cashewnut shell (CNS), and palm oils as quench media (bioquenchants) for industrial heat treatment by assessing their wetting behavior and severity of quenching. The relaxation of contact angle was sharp during the initial stages, and it became gradual as the system approached equilibrium. The equilibrium contact angle decreased with increase in the temperature of the substrate and decrease in the viscosity of the quench medium. A comparison of the relaxation of the contact angle at various temperatures indicated the significant difference in spreading of oils having varying viscosity. The spread activation energy was determined using the Arrhenius type of equation. Oils with higher viscosity resulted in lower cooling rates. The quench severity of various oil media was determined by estimating heat-transfer coefficients using the lumped capacitance method. Activation energy for spreading determined using the wetting behavior of oils at various temperatures was in good agreement with the severity of quenching assessed by cooling curve analysis. A high quench severity is associated with oils having low spread activation energy.

Determination of Wetting Behavior, Spread Activation Energy, and Quench Severity of Bioquenchants

Effect of section size and agitation on heat transfer during quenching of AISI 1040 steel

In this study, prediction of density and hardness properties using artificial neural network (ANN) and micro structural evolution of multi walled carbon nano tubes (MWCNT) and fly ashes (FA)/Al composites produced by powder metallurgy were investigated. The influence of content (wt.%) of reinforcements(MWCNTs and FA), ball milling time and sintering time on the mechanical properties were experimentally determined by measuring density and hardness values which are the outputs obtained from the artificial neural network. It was found that amount of reinforcements, ball milling time and sintering time play a major role in dispersion and enhancement of the properties. It was also demonstrated that ANN model is a powerful prediction technique to predict the mechanical properties of the composites. Blend powder morphology and sintered composite structure were investigated by scanning electron microscope (SEM). It was found that reinforcements were well dispersed for prolonged ball milling time and sintering time.

Peter Fernandes

Papers

Comparative study of heat transfer and wetting behaviour of conventional and bioquenchants for industrial heat treatment

Determination of Wetting Behavior, Spread Activation Energy, and Quench Severity of Bioquenchants

Effect of section size and agitation on heat transfer during quenching of AISI 1040 steel

Artificial neural network technique to predict the properties of multiwall carbon nanotube-fly ash reinforced aluminium composite

Effect of surface roughness on metal/quenchant interfacial heat transfer and evolution of microstructure