Optimization of Laser Hardening Process Parameters for Cast Iron Using a Design of Experiment Method

2020 ◽  
pp. 293-304
Author(s):  
Santoshkumar V. Wagh ◽  
Dhananjay V. Bhatt ◽  
Jyoti V. Menghani ◽  
Sujit S. Pardeshi
Keyword(s):  
Cast Iron ◽  
Process Parameters ◽  
Design Of Experiment ◽  
Laser Hardening ◽  
Hardening Process ◽  
Experiment Method

scholarly journals Experimental investigation and effects of laser hardening process parameters on microhardness of En24 steel

2020 ◽  
Vol 814 ◽  
pp. 012003
Author(s):  
Santoshkumar V. Wagh ◽  
Dhananjay V. Bhatt ◽  
Jyoti V. Menghani ◽  
Sujit S. Pardeshi ◽  
Bhagyesh B. Deshmukh
Keyword(s):  
Experimental Investigation ◽  
Process Parameters ◽  
Laser Hardening ◽  
Hardening Process

Optimization of FDM process parameters for tensile properties of polylactic acid specimens using Taguchi design of experiment method

2020 ◽  
pp. 089270572096456
Author(s):  
M Heidari-Rarani ◽  
N Ezati ◽  
P Sadeghi ◽  
MR Badrossamay
Keyword(s):  
Mechanical Properties ◽  
Tensile Properties ◽  
Layer Thickness ◽  
Polylactic Acid ◽  
Process Parameters ◽  
Design Of Experiment ◽  
Taguchi Design Of Experiment ◽  
Experiment Method ◽  
3D Printed ◽  
Printing Speed

Fused deposition modeling (FDM) is the most common method for additive manufacturing of polymers, which is expanding in various engineering applications due to its ability to make complex parts readily. The mechanical properties of 3D printed parts strongly depend on the correct selection of the process parameters. In this study, the effect of three important process parameters such as infill density, printing speed and layer thickness were investigated on the tensile properties of polylactic acid (PLA) specimens. Taguchi design of experiment method is applied to reduce the number of experiments and find the optimal parameters for maximum mechanical properties, minimum weight and minimum printing time. Experimental results showed that the optimum process parameters for the modulus of elasticity and ultimate tensile strength were infill density of 80%, printing speed of 40 mm/s and layer thickness of 0.1 mm, while for the failure strain were the infill density of 80%, printing speed of 40 mm/s and layer thickness of 0.2 mm. Finally, the accuracy of the Taguchi method was assessed for prediction of mechanical properties of FDM-3D printed specimens.

scholarly journals Effects of Prior Microstructure and Heating Rate on the Depth of Increased Hardness in Laser Hardening: Comparison of Computer Simulation and Experimental Results

Metals ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 1016
Author(s):  
Nikolaj Mole ◽  
Marko Bojinović ◽  
Pino Koc ◽  
Boris Štok
Keyword(s):  
Computer Simulation ◽  
Phase Transformation ◽  
Numerical Model ◽  
Heating Rate ◽  
Process Parameters ◽  
Laser Hardening ◽  
Eutectoid Steel ◽  
Hardening Process ◽  
3D Geometry ◽  
Kinetics Of

The response of the hypo-eutectoid steel to laser hardening, which is measured as the depth of the increased hardness, depends not only on the set of the process parameters but also on the prior microstructure of the workpiece. The multiple preliminary stages of the treatment of the workpiece in the industrial conditions are commonly not completely known, resulting in an unclear prior microstructure of the workpiece. To model the response of the hypo-eutectoid steel, a validated numerical model for laser hardening has been used in the computer simulation of the process for four different cases. The numerical model takes into account the 3D geometry of the workpiece, its prior microstructure, and the effect of the heating rate during the laser hardening process on the kinetics of the phase transformation. The four cases were designed to take into account two different sets of process parameters and two different prior microstructures of the workpiece. The output of the computer simulation was verified experimentally.

Laser Hardening Process Parameters

1984 ◽  
pp. 312-316
Author(s):  
K. Wissenbach ◽  
L. Bakowsky ◽  
H.-G. Treusch ◽  
G. Herziger
Keyword(s):  
Process Parameters ◽  
Laser Hardening ◽  
Hardening Process

scholarly journals Effects of Laser Hardening Process Parameters on Hardness Profile of 4340 Steel Spline—An Experimental Approach

Coatings ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 342 ◽  
Author(s):  
Noureddine Barka ◽  
Sasan Sattarpanah Karganroudi ◽  
Rachid Fakir ◽  
Patrick Thibeault ◽  
Vincent Blériot Feujofack Kemda
Keyword(s):  
Process Parameters ◽  
Experimental Tests ◽  
Case Depth ◽  
Laser Hardening ◽  
Hardness Profile ◽  
Hardening Process ◽  
4340 Steel ◽  
Specific Geometry ◽  
Geometrical Factors ◽  
Splined Shaft

This study displays the effect of laser surface hardening parameters on the hardness profile (case depth) of a splined shaft made of AISI 4340 steel. The approach is mainly based on experimental tests wherein the hardness profile of laser hardened splines is acquired using micro-hardness measurements. These results are then evaluated with statistical analysis (ANOVA) to determine the principal effect and the contributions of each parameter in the laser hardening process. Using empirical correlations, the case depth of splined shaft at tip and root of spline’s teeth is also estimated and verified with measured data. The obtained results were then used to study the sensitivity of the measured case depths according to the evolution of laser process parameters and geometrical factors. The feasibility and efficiency of the proposed approach lead to a reliable statistical model in which the hardness profile of the spline is estimated with respect to its specific geometry.

A Design of Experiment Approach to the Synthesis of Alendronate-incorporated Hydroxyapatite

2018 ◽  
Vol 69 (8) ◽  
pp. 1944-1948 ◽  
Author(s):  
Adina Turcu Stiolica ◽  
Maria Viorica Bubulica ◽  
Oana Elena Nicolaescu ◽  
Octavian Croitoru ◽  
Mariana Popescu ◽  
...  
Keyword(s):  
Process Parameters ◽  
Design Of Experiment ◽  
Calcium Nitrate ◽  
Chemical Precipitation ◽  
Synthesis Temperature ◽  
Ripening Time ◽  
Synthesis Design ◽  
N2 Atmosphere ◽  
Addition Rate ◽  
Incorporation Efficiency

A design of experiment (DoE) approach is presented for the optimization of Alendronate-hydroxyapatite nanoparticles� synthesis. The synthesis was performed using the chemical precipitation technique from calcium nitrate, diammonium hydrogen phosphate and alendronate. Synthesis temperature, reactant addition rate and ripening time were chosen as the most relevant experimental factors for our synthesis. Design of Experiments was used in order to measure these conclusive process parameters and their effect on controlling some final nanoparticles parameters, such us: alendronate incorporation efficiency (IncorporationEfficiency, %), hydroxyapatite crystallite size (Size_XRD, nm), hydroxyapatite particle size distribution (Size_DLS, �). Our study found that better HA-AL incorporation efficiency and small nonoparticles can be obtained using the following chemical process parameters: reaction temperature 30oC or smaller, ripening time 108h and addition rate 0.1mol/min. The analysis of more than one nanoparticles characteristics was possible using DoE software, MODDE 9.1. Thus, hydroxyapatite-alendronate incorporation efficiency should be expected to increase with decreasing temperature below 300C, increasing the maturate time at least 108h, at an addition rate of 0.1mol/min, in an N2 atmosphere. The same conditions will ensure nanoparticles small size that would be more desirable for the application of implants.

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