Influence of T6 Heat Treatment Analysis on the Tribological Behaviour of Cast Al-12.2Si-0.3 Mg-0.2Sr Alloy Using Response Surface Methodology

2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Karthik V. Shankar ◽  
Meera Balachandran ◽  
Bharath S. Pillai ◽  
S. R. Krishnanunni ◽  
N. S. Harikrishnan ◽  
...  
Keyword(s):  
Heat Treatment ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Tribological Behaviour ◽  
T6 Heat Treatment ◽  
Treatment Analysis

T6 Heat Treatment Optimization of Thixoformed LM4 Aluminium Alloy using Response Surface Methodology

2020 ◽  
Vol 3 (1) ◽  
pp. 1-13
Author(s):  
MOHD SHUKOR SALLEH ◽  
Hanizam Hashim ◽  
Mohd Zaidi Omar ◽  
Abu Bakar Sulong ◽  
Soufhwee Abd Rahman ◽  
...  
Keyword(s):  
Heat Treatment ◽  
Response Surface Methodology ◽  
Aluminium Alloy ◽  
Response Surface ◽  
Treatment Optimization ◽  
T6 Heat Treatment ◽  
Heat Treatment Optimization

scholarly journals Impact of Heat Treatment Analysis on the Wear Behaviour of Al-14.2Si-0.3Mg-TiC Composite using Response Surface Methodology

2021 ◽  
Vol 43 (4) ◽  
pp. 590-602
Author(s):  
V. Anilkumar ◽  
K.V. Shankar ◽  
M. Balachandran ◽  
J. Joseph ◽  
S. Nived ◽  
...  
Keyword(s):  
Heat Treatment ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Wear Behaviour ◽  
Treatment Analysis

scholarly journals The effect of heat treatment and impact angle on the erosion behavior of nickel-tungsten carbide cold spray coating using response surface methodology

2021 ◽  
Author(s):  
Marios Kazasidis ◽  
Elisa Verna ◽  
Shuo Yin ◽  
Rocco Lupoi
Keyword(s):  
Heat Treatment ◽  
Response Surface Methodology ◽  
Mass Loss ◽  
Tungsten Carbide ◽  
Response Surface ◽  
Spray Coating ◽  
Impact Angle ◽  
Control Factors ◽  
Heat Treated ◽  
The Impact

AbstractThis study elucidates the performance of cold-sprayed tungsten carbide-nickel coating against solid particle impingement erosion using alumina (corundum) particles. After the coating fabrication, part of the specimens followed two different annealing heat treatment cycles with peak temperatures of 600 °C and 800 °C. The coatings were examined in terms of microstructure in the as-sprayed (AS) and the two heat-treated conditions (HT1, HT2). Subsequently, the erosion tests were carried out using design of experiments with two control factors and two replicate measurements in each case. The effect of the heat treatment on the mass loss of the coatings was investigated at the three levels (AS, HT1, HT2), as well as the impact angle of the erodents (30°, 60°, 90°). Finally, the response surface methodology (RSM) was applied to analyze and optimize the results, building the mathematical models that relate the significant variables and their interactions to the output response (mass loss) for each coating condition. The obtained results demonstrated that erosion minimization was achieved when the coating was heat treated at 600 °C and the angle was 90°.

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

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Prachya Peasura
Keyword(s):  
Heat Treatment ◽  
Mathematical Model ◽  
Tensile Strength ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Pressure Vessel ◽  
Postweld Heat Treatment ◽  
Pressure Vessel Steel ◽  
Vessel Steel ◽  
Postweld Heat

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 isYTS=-285.521+15.706X1+2.514X2-0.004X12-0.001X22-0.029X1X2. 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.

scholarly journals Effect of Heat Treatment on Smoothie Quality by Response Surface Methodology

Proceedings ◽  
2020 ◽  
Vol 70 (1) ◽  
pp. 6
Author(s):  
Joaquina Pinheiro ◽  
Diana I. Santos ◽  
Elsa M. Gonçalves ◽  
Marta Abreu ◽  
Margarida Moldão-Martins
Keyword(s):  
Heat Treatment ◽  
Response Surface Methodology ◽  
Antioxidant Capacity ◽  
Response Surface ◽  
Fruits And Vegetables ◽  
Total Phenolics ◽  
Treatment Time ◽  
Antioxidant Power ◽  
Quality Properties ◽  
The Impact

Smoothies are a popular and convenient way for to consume bioactive compounds from fruits and vegetables such as total phenolics, carotenoids and flavonoids, with the preservation treatment being an important action to guarantee the safety and extension of shelf-life. The main goal of this study was to evaluate the impact of heat treatment (HT) on smoothie prepared with “Fuji “apple (41%), pineapple (31%), cabbage (8%), pumpkin (10%) and banana (10%), by response surface methodology (RSM), where the temperature (70–100 °C) and treatment time (0.5–10.5 min), were the dependent variables. After optimization of HT conditions, a validation assay was performed to guarantee the minimal changes on color and reduction of 90% of polyphenoloxidase enzyme (PPO). Antioxidant activity (Ferric reducing antioxidant power assay (FRAP), DPPH, ABTS), total phenolics content (TPC), pH and solids soluble content were also analyzed. Predicted models of color parameters (L*, a*, ºh) and PPO enzymatic activity were found to be significant (p < 0.05) with regression coefficients (R2) of 0.84, 0.86, 0.92 and 0.97, respectively. From the RSM-generated model, the HT conditions that ensure a minimal green loss of smoothie and inactivation of PPO enzyme was at 85 °C over 7 min. In the validation study, these conditions were tested and proved to be sufficient to achieve the main goals. In the heat-treated smoothie, increases in TPC (10%) and antioxidant capacity (ABTS: 50%, DPPH: 17%, FRAP: 13%) were attained. This study demonstrated that RSM was efficient to select the optimal conditions of HT and improve the important quality properties that influence the product quality and the potential consumer’s health (TPC and antioxidant capacity).

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