Application of the central composite design in optimization of laser transformation hardening parameters of commercially pure titanium using Nd:YAG laser

Badkar, Duradundi Sawant; Pandey, K.S.; Buvanashekaran, G.

doi:10.1007/s00170-011-3492-2

Cited by 20 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The 'lack of fit F-value' is not significant reflecting a good condition as it means that the model is fit. The R-squared value of 0.9183 also expressed that the model is fit while the adequate precision that measures the signal to noise ratio with value of 14.85, which is greater than 4 shows that it is desirable [19,20] and can be used to navigate the design space. Not significant E (g/m 3 ) = -1.5384 + 6.4713A + 0.0385B + 0.0019C + 0.8490AB -0.0086AC -0.0162B 2 (3)…”

Section: Resultsmentioning

confidence: 99%

Optimization of a Developed Multi-Cyclone Using Response Surface Methodology (RSM) to Control Fine Particulate Emission

Hasyimah

Rashid

Norelyza

2023

View full text Add to dashboard Cite

The effects of increasing volumetric air flow rate and inlet particulate loading on overall collection efficiency of MR-deDuster; a developed multi-cyclone system was investigated using various segregated sizes of palm oil mill boiler fly ash. The operating conditions of the fabricated pilot plant scale of the unit were predicted theoretically and screened experimentally. Increasing volumetric air flow rate theoretically will increase the overall collection efficiency, yet the experimental results during screening stage demonstrated contradict finding when the increment of volumetric air flow rate caused the overall collection efficiency to be decreased for a constant particulate loading. Subsequently, the optimization work was done to determine the optimum operating conditions of the system using Response Surface Method (RSM) with Box-Behnken design. The parallel arrangement of multi-cyclone units proved the ability of the system to uniformly disseminate the gas flow with high volume of gas carrier. Nevertheless, excessive pressure drops between each unit of multi-cyclone due to high volumetric air flow rate should be avoided as such condition may lower the overall collection efficiency by allowing dust re-entrainment from the hopper to circulate between the cyclones. Through statistical analysis of variance (ANOVA), validation and verification studies, it is suggested that the developed pilot scale multi-cyclone unit would be able to meet the targeted limit of 150 mg/m3 for solid fuel burning equipment industry in Malaysia by operating with optimized volumetric air flow rate of 0.27 m3/s, and maximum inlet particulate loading rate and size of 2 g/m3 and 1000 μm respectively.

show abstract

Section: Resultsmentioning

confidence: 99%

Optimization of a Developed Multi-Cyclone Using Response Surface Methodology (RSM) to Control Fine Particulate Emission

Hasyimah

Rashid

Norelyza

2023

View full text Add to dashboard Cite

show abstract

“…The response surface methodology study used CCD; several points are evaluated which increases the chances of detecting the response at which the optimum for a factor occurs. The parameters studied (− α , −1, 0, +1, and α ) in CCD, where levels −1 and +1 represent the low and high values, − α and α indicate the low and high extreme values, and 0 is the center value of each parameter [ 17 , 18 ], were shown in Tables 2 , 3 , and 4 .…”

Section: Methodsmentioning

confidence: 99%

Application of Response Surface Methodology for Modeling of Postweld Heat Treatment Process in a Pressure Vessel Steel ASTM A516 Grade 70

Peasura

2015

The Scientific World Journal

View full text Add to dashboard Cite

This research studied the application of the response surface methodology (RSM) and central composite design (CCD) experiment in mathematical model and optimizes postweld heat treatment (PWHT). The material of study is a pressure vessel steel ASTM A516 grade 70 that is used for gas metal arc welding. PWHT parameters examined in this study included PWHT temperatures and time. The resulting materials were examined using CCD experiment and the RSM to determine the resulting material tensile strength test, observed with optical microscopy and scanning electron microscopy. The experimental results show that using a full quadratic model with the proposed mathematical model is Y TS = −285.521 + 15.706X 1 + 2.514X 2 − 0.004X 1 2 − 0.001X 2 2 − 0.029X 1 X 2. Tensile strength parameters of PWHT were optimized PWHT time of 5.00 hr and PWHT temperature of 645.75°C. The results show that the PWHT time is the dominant mechanism used to modify the tensile strength compared to the PWHT temperatures. This phenomenon could be explained by the fact that pearlite can contribute to higher tensile strength. Pearlite has an intensity, which results in increased material tensile strength. The research described here can be used as material data on PWHT parameters for an ASTM A516 grade 70 weld.

show abstract

“…The quality of the equation of other mathematical models developed to predict the dimensions of the weld bead as a function of the operational variables were verified using the coefficient of determination and the Fisher test [4,12,13]. Although several statistical designs have been developed to predict the geometry of the bead, only two authors mentioned the welding position within the input variables of their experiments [4,10].…”

Section: Introductionmentioning

confidence: 99%

Prediction of bead geometry on filling cavities in hydroelectric turbine blades by means of robotic welding

Plata

Carvalho

Flórez-Solano

2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

This paper presents a methodology of mapping the bead geometry, deposited on a fillet like joint, as a function of the input parameters of the synergic pulsed gas metal arc welding process and the welding position, to allow the planning of repairing hydroelectric turbine runner blades by means of robotic welding. The challenges of automating the repair process; further, to choosing the best welding parameters, include the definition of the path that the robot must follow during the metal deposition, such that it is able to fill completely the damaged blade cavity, by means of producing overlapped layers from several individual weld beads. Thus, this research focused on developing statistical prediction models that could map the geometric variations of the weld bead section as function of the input parameters (wire feed speed, welding speed and bead face rotation angle). For this purpose, the bead section was approximated by a parallelogram whose height, width and inclination angle were considered as dependent variables. Several welding trials were carried out according to a central composite experimental design and three multiple regression models were obtained. Here, the physics is used to interpret the influence of the input parameters on the output results.

show abstract

Application of the central composite design in optimization of laser transformation hardening parameters of commercially pure titanium using Nd:YAG laser

Cited by 20 publications

References 18 publications

Optimization of a Developed Multi-Cyclone Using Response Surface Methodology (RSM) to Control Fine Particulate Emission

Optimization of a Developed Multi-Cyclone Using Response Surface Methodology (RSM) to Control Fine Particulate Emission

Application of Response Surface Methodology for Modeling of Postweld Heat Treatment Process in a Pressure Vessel Steel ASTM A516 Grade 70

Prediction of bead geometry on filling cavities in hydroelectric turbine blades by means of robotic welding

Contact Info

Product

Resources

About