Optimization of processing parameters in induction hardening using response surface methodology

Abstract

In this paper, an effective procedure of response surface methodology (RSM) has been utilized for finding the optimal values of process parameters while induction hardening of AISI 1040 under two different conditions of the material i.e., rolled and normalized. Various process parameters, such as feed rate (speed at which the induction coil moves, which is measured in mm/sec), current, dwell time (time after which heat intensity starts to heat work piece in seconds) and gap between the work piece and induction coil have been explored by experiments. Hardness at two different conditions has been considered as performance characteristic. The experiment plan was based on rotatable, central composite design (CCD). The experimental results showed that the proposed mathematical models suggested could describe the performance indicators within the limits of the factors being investigated. The obtained optimal process parameters have been predicted and verified by confirmation experiments. Microstructure and SEM (scanning electron microscope) analyses were also done for justification of the work.

Analysis of Continuous Induction Hardening of Steel Cylinder Element Made of Steel 38Mn6 / Analiza Przelotowego Hartowania Indukcyjnego Walca Ze Stali 38Mn6

“…The austenization temperature for induction surface hardening depends on speed of heating and in order to avoid taking to computations incorrect data the best solution is to determine it by measurements. More detailed description of physical background of the induction surface hardening process as well as some practical examples are presented for instance in [11][12][13][14][15]. An obstacle in application of modern induction surface hardening technologies to industry seems to be a lack of precise and simple computation methods facilitating design, control and exploitation of such devices.…”

Combating Accidental Microbial Episodes by Back-Ground Chlorine Residuals in a Scaled-up Distribution Network (Rig) Using a Central Composite Design (CCD)

“…ANOVA analysis was performed and a quadratic model was developed with a significant p value ＜ 0.0001. Values of "Prob> F" less than 0.05 indicate model terms are significant and values greater than 0.1indicatethe model terms are not significant [12]. The terms A, B, D and E are significant with p ＜ 0.022, 0.0001, 0.07 and 0.0001 respectively.…”

“…It is the combination of different optimized parameters, which gave maximum response it finds one or more points in the factor"s domain that would maximize this objective function. The numerical optimization process involves combining the goals into an overall desirability function(D), an objective function that ranges from zero outside of the limits to one at the goal [12].Here the main objective was to evaluate the efficiency of background chlorination to inactivate microbial intrusion in a scaled-up distribution rig (network).…”

The Use Of Multifrequency Induction Heating For Temperature Distribution Control

“…Obviously, more complex and complicated objects affect the choice of the proper process and its parameters. Gear hardening processes have been conducted for many years [11][12][13][14]. However, although the induction heating process is well described in references and used in many metallurgical technologies, its application for hardening of gear wheels is still rather rare.…”