Behavioural Study of Spiral Flexure Disc by Design of Experiments and Contour Plots

2019 ◽  
Vol 12 (8) ◽  
Author(s):  
Sachin Shinde ◽  
Ramesh Lekurwale
Keyword(s):  
Design Of Experiments ◽  
Behavioural Study ◽  
Contour Plots

Optimizing the laser parameters to attain maximum hardness in nickel based hardfacing surfaces

2017 ◽  
Vol 26 (3-4) ◽  
pp. 113-125 ◽  
Author(s):  
S. Gnanasekaran ◽  
G. Padmanaban ◽  
V. Balasubramanian ◽  
Hemant Kumar ◽  
Shaju K. Albert
Keyword(s):  
Response Surface Methodology ◽  
Design Of Experiments ◽  
Confidence Level ◽  
Feed Rate ◽  
Empirical Relationship ◽  
Travel Speed ◽  
Maximum Hardness ◽  
Powder Feed Rate ◽  
Statistical Tools ◽  
Contour Plots

AbstractIn this investigation, an attempt has been made to optimize the laser hardfacing (LH) parameters such as power, powder feed rate (PFR), travel speed and defocusing distance to maximize hardness of Ni-based hardfacing surfaces. Statistical tools such as the design of experiments (DoE), analysis of variance (ANOVA) are used to develop the empirical relationship to predict the hardness of the deposits at the 95% confidence level. Response graphs and contour plots are constructed using response surface methodology (RSM) concept. From this investigation, it is found that the maximum hardness of 820.48 HV could be achieved for the deposit made using a power of 1314 W, PFR of 9 g/min, a travel speed of 366 mm/min, and a defocusing distance of 32 mm.

scholarly journals RP-HPLC Method Development and Validation for the Determination of Pemigatinib using Design of Experiments Approach

2021 ◽  
pp. 26-48
Author(s):  
C. H. Srujani ◽  
K. Harika ◽  
K. S. Nataraj ◽  
A. Krishna Manjari Pawar
Keyword(s):  
Design Of Experiments ◽  
Flow Rate ◽  
Retention Time ◽  
Method Development ◽  
Hplc Method ◽  
23 Factorial Design ◽  
Rp Hplc ◽  
Validation Parameters ◽  
Contour Plots

Aim: To develop and validate a simple, precise, accurate and robust RP-HPLC method for the determination of Pemigatinib by using Design of Experiments (DoE) approach. Study Design: A 23 Factorial design consisting of three factors at two levels was considered for the experimental plan initially to select the initial chromatographic conditions and optimization was done using Box-Behnken Design. The critical method parameters selected for optimization were % Organic phase composition, pH of the buffer and flow rate. The critical quality attributes investigated were retention time, theoretical plates and tailing factor. Methodology: Chromatographic separation was achieved on Agilent Zorbax XDB C18 (250×4.6 mm, 5 µm) column maintained at ambient temperature and PDA-UV detection set at 262nm. The optimized and predicted data from the Design Expert® (12.0.12.0) modelling software (Stat-Ease Inc., Minneapolis, MN, USA) consisted of mobile phase 0.1% OPA pH 2.5 buffer (60%): Acetonitrile (40%) pumped at a flow rate of 1.06ml/min gave the highest desirability. Results: The retention time of the drug was found to be 3.258 min. The developed method was linear over the concentration range of 25-150 µg/mL with correlation coefficient of 0.999. The optimized method was validated as per ICH Q2 (R1) guidelines. Conclusion: Based on the ANOVA results, the selected models for the responses retention time and tailing factor were found to be significant with P=0.05. 2D Contour plots were used to visualize the effect of factors and their interactions on the responses. Design validation was done using predicted vs. actual plots for the responses. The results of the validation parameters were within the acceptable limit. The stability of the drug was examined under different stress conditions forcibly and significant degradation was found in reductive condition.

Projektowanie dla jakości metodami Shainina i Taguchiego

2008 ◽  
pp. 36-38
Author(s):  
Jarosław Sęp ◽  
Andrzej Pacana
Keyword(s):  
Design Of Experiments

Zespół metod wykorzystywanych do planowania eksperymentów określa się jako Design of Experiments -DOE. Celem stosowania DOE jest uzyskanie jak największej ilości wartościowych i wiarygodnych informacji o badanym wyrobie lub procesie na podstawie jak najmniejszej liczby doświadczeń. W artykule zwrócono uwagę na stosunkowo mało znane metody opracowane przez Shainina oraz Taguchiego. Przedstawiono dobór parametrów metodą Shainina i Taguchiego na przykładzie procesu toczenia.

Defect Reduction in Ring Blank Casting Through Design of Experiments

2015 ◽  
Vol 9 (6) ◽  
pp. 536 ◽  
Author(s):  
P. Kannan ◽  
K. Balasubramanian ◽  
R. Vinayagamoorthy
Keyword(s):  
Design Of Experiments ◽  
Defect Reduction ◽  
Ring Blank

Determination of Combined and Second Order Factor Effects for Simultaneous Optimization of Physical and Mechanical Properties of NR/BR Blend System

2014 ◽  
Vol 42 (4) ◽  
pp. 290-304
Author(s):  
Rajarajan Aiyengar ◽  
Jyoti Divecha
Keyword(s):  
Physical And Mechanical Properties ◽  
Second Order ◽  
Simultaneous Optimization ◽  
Order Effects ◽  
Elongation At Break ◽  
Five Factors ◽  
Rubber Compounds ◽  
Polybutadiene Rubber ◽  
Contour Plots

ABSTRACT The blends of natural rubber (NR), polybutadiene rubber (BR), and other forms of rubbers are widely used for enhancing the mechanical and physical properties of rubber compounds. Lots of work has been done in conditioning and mixing of NR/BR blends to improve the properties of its rubber compounds and end products such as tire tread. This article employs response surface methodology designed experiments in five factors; high abrasion furnace carbon black (N 330), aromatic oil, NR/BR ratio, sulfur, and N-oxydiethylene-2-benzothiazole sulfenamide for determination of combined and second order effects of the significant factors leading to simultaneous optimization of the NR/BR blend system. One of the overall optimum of eight properties existed at carbon 44 phr, oil 6.1 phr, NR/BR 78/22 phr with the following values of properties: tensile strength (22 MPa), elongation at break (528%), tear resistance (30 kg/mm), rebound resilience (67%), moderate hardness (68 International rubber hardness degrees) with low heat buildup (17 °C), permanent set (12%), and abrasion loss (57 mm3). More optimum combinations can easily be determined from the NR/BR blend system models contour plots.

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