Exploiting the Drill Cutting Lip to Quantify the Contributions of Process Parameters To Cutting Pressures - A Response Surface Analysis

2022 ◽  
Vol 17 (1) ◽  
pp. 1
Author(s):  
Re Mi Hage ◽  
Ilige Hage ◽  
Ramsey Hamade ◽  
Charbel Seif
Keyword(s):  
Response Surface ◽  
Surface Analysis ◽  
Process Parameters ◽  
Response Surface Analysis ◽  
Drill Cutting

The Numerical Optimization of Laser Shot Peening Parameters Based on Response Surface Analysis

2011 ◽  
Vol 464 ◽  
pp. 443-447
Author(s):  
Su Qing Jiang ◽  
Jian Hua Wu ◽  
Hong Guang Xu ◽  
Jian Zhong Zhou
Keyword(s):  
Residual Stress ◽  
Stress Field ◽  
Response Surface ◽  
Surface Analysis ◽  
Process Parameters ◽  
Shot Peening ◽  
Compressive Residual Stress ◽  
Response Surface Analysis ◽  
Residual Stress Field ◽  
Laser Process

Residual stress field induced by laser shot peening (LSP) was simulated using Box-Behnken experimental design. Compressive residual stress field intensity (S) was introduced to estimate the effect of compressive residual stress field on fatigue performance. The effect of laser process parameters (such as laser shock wave peak pressure, spot diameter and peening number) on S was analyzed by response surface analysis (RSA), quadratic regression predicting model for S was established, and the rationality of that was verified. Finally, the optimal combination of laser process parameters oriented to anti-fatigue manufacture was optimized. The results indicated statistical analysis results agreed well with those of simulation, RSA for parameter optimization of LSP is feasible.

scholarly journals Response surface analysis of nozzle parameters at supersonic flow through microjets

2021 ◽  
pp. 1-16
Author(s):  
Turki Al-Khalifah ◽  
Abdul Aabid ◽  
Sher Afghan Khan ◽  
Muhammad Hanafi Bin Azami ◽  
Muneer Baig
Keyword(s):  
Supersonic Flow ◽  
Response Surface ◽  
Surface Analysis ◽  
Response Surface Analysis ◽  
Flow Through

scholarly journals In vitro synergy of isavuconazole in combination with colistin against Candida auris

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Patrick Schwarz ◽  
Anne-Laure Bidaud ◽  
Eric Dannaoui
Keyword(s):  
Response Surface ◽  
Surface Analysis ◽  
Concentration Index ◽  
Inhibitory Concentration ◽  
Response Surface Analysis ◽  
Fractional Inhibitory Concentration ◽  
Candida Auris ◽  
Fractional Inhibitory Concentration Index ◽  
Agar Diffusion

AbstractThe in vitro interactions of isavuconazole with colistin were evaluated against 15 clinical Candida auris isolates by a microdilution checkerboard technique based on the EUCAST reference method for antifungal susceptibility testing and by agar diffusion using isavuconazole gradient concentration strips with or without colistin incorporated RPMI agar. Interpretation of the checkerboard results was done by the fractional inhibitory concentration index and by response surface analysis based on the Bliss model. By checkerboard, combination was synergistic for 93% of the isolates when interpretation of the data was done by fractional inhibitory concentration index, and for 80% of the isolates by response surface analysis interpretation. By agar diffusion test, although all MICs in combination decreased compared to isavuconazole alone, only 13% of the isolates met the definition of synergy. Essential agreement of EUCAST and gradient concentration strip MICs at +/− 2 log2 dilutions was 93.3%. Antagonistic interactions were never observed for any technique or interpretation model used.

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