A Study on Coolant Parameters in Internal Grinding of 9CrSi Steel

2019 ◽  
Vol 950 ◽  
pp. 24-31 ◽  
Author(s):  
Le Xuan Hung ◽  
Vu Thi Lien ◽  
Vu Ngoc Pi ◽  
Banh Tien Long
Keyword(s):  
Surface Roughness ◽  
Regression Model ◽  
Central Composite Design ◽  
Flow Rate ◽  
Optimal Parameters ◽  
Machining Processes ◽  
Internal Grinding ◽  
Surface Method ◽  
Internal Cylindrical Grinding ◽  
Central Composite

This paper aims to analysis the effect of coolant parameters on surface roughness in internal cylindrical grinding of annealed 9CrSi steel. The concentration and flow rate of the coolant are investigated in thirteen experiments by central composite design and response surface method. The effect of each parameter and their interaction on the surface roughness are analyzed by their regression model. From that model, optimal parameters are determined to obtain the minimum surface roughness. The measured roughness matches with the predicted roughness from the regression model. This proposed is proven and it can be further applied for optimizing other machining processes.

scholarly journals Optimization of Honing Surface Roughness of Carburized Holes Based on GRA-RSM

Machines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 291
Author(s):  
Tao Tang ◽  
Chi Liu ◽  
Rong Wang
Keyword(s):  
Surface Roughness ◽  
Experimental System ◽  
Head Rotation ◽  
Optimal Parameters ◽  
Optimization Scheme ◽  
Internal Grinding ◽  
Surface Method ◽  
Low Efficiency ◽  
Set Up

The carburized holes processed by ordinary internal grinding are prone to burn, crack, and low efficiency. Honing has a superior machining efficiency and cooling effect compared to traditional internal grinding. In this paper, we innovatively apply honing to carburizing hole grinding and propose an effective optimization scheme to enhance the surface finish of carburized holes. We set up an experimental system to explore the influence law of honing head rotation speed, axial reciprocating speed, grain size, and single grinding depth on surface roughness. Based on the grey correlation and response surface method, we propose a method to optimize the honing parameters of carburized holes and establish a prediction model, which has an R2 value of 0.9887, indicating that the model fits well. We verify the validity of the model by the root mean square error of 0.012 between the measured and calculated values. Based on the model, the optimal parameters of roughness (Ra) is obtained and verified by experiments. Compared with the original honing parameters, the surface roughness quality is improved by 25.8%. It shows that the optimized honing process based on the GRA-RSM method improves the surface quality of carburized holes significantly.

OPTIMIZATION OF RP-HPLC METHOD BY 32 – CENTRAL COMPOSITE DESIGN FOR THE VALIDATION AND ESTIMATION OF DOXYCYCLINE HYCLATE IN BULK DRUG AND FORMULATIONS

INDIAN DRUGS ◽  
2015 ◽  
Vol 52 (11) ◽  
pp. 42-49
Author(s):  
C Dhal ◽  
◽  
F. J. Ahmad ◽  
M. Singhal ◽  
A. Kukrety ◽  
...  
Keyword(s):  
Central Composite Design ◽  
Flow Rate ◽  
High Performance ◽  
Hplc Method ◽  
Array Detector ◽  
Doxycycline Hyclate ◽  
Chromatography Method ◽  
Column Temperature ◽  
Bulk Drug ◽  
Central Composite

An accurate, sensitive, precise, economic and rapid isocratic Reverse Phase High Performance Liquid Chromatography method was developed complying Quality by Design (QbD) trends and validated for determining doxycycline hyclate in bulk drug, tablet and capsule dosage form. The method was optimized using Minitab software with 3 factors (pH of the buffer, flow rate and percentage of buffer in the mobile phase), 2 level (higher limit and lower limit) Central Composite Design (CCD). The results of randomized 20 runs were analyzed for optimum composite desirability to give optimum conditions such as, pH 6.5, flow rate 0.9 mLmin-1 and 30:70 V/V 0.05M potassium dihydrogen orthophosphate buffer adjusted to pH 6.5 using orthophosphoric acid and methanol using C8 column 250 X 4.6 mm X 5.0 μm, injection volume of 10uL, ambient column temperature and ultraviolet detection using photo diode array detector at 360nm as constants. The method was validated as per ICH guidelines and was found linear over a concentration range of 10-100 μg/mL (r2 = 0.999) with the limits of detection and quantification being 2.45 μg/mL and 7.55 μg/mL respectively.

Experimental Study on High-Speed WEDM Finishing in Gas Based on Central Composite Design

2013 ◽  
Vol 662 ◽  
pp. 319-322
Author(s):  
Tong Wang ◽  
Yu Mei Lu ◽  
Chao Qun Wang ◽  
Kun Jiang ◽  
Fei Xie ◽  
...  
Keyword(s):  
Regression Model ◽  
Central Composite Design ◽  
Pulse Duration ◽  
High Speed ◽  
High Reliability ◽  
Cutting Speed ◽  
Pulse Interval ◽  
Five Factors ◽  
Verification Test ◽  
Central Composite

Using cutting speed and the roughness as index, the five factors as pulse duration, peak current, offset, ratio of pulse interval to pulse duration and worktable feed were chosen in dry finishing. Based on the single factor experiment, the central composite design (CCD) method is used to study the effects of the five factors and their interactions on cutting speed and the surface roughness and develop empirical models for cutting speed and roughness Ra. Significant order influencing cutting speed and roughness are found. The results of the verification test show that Ra regression model and cutting speed regression model have high reliability, and can achieve significant prediction effect.

Central composite design in HPMC granulation and correlations between product properties and process parameters

2017 ◽  
Vol 41 (14) ◽  
pp. 6504-6513 ◽  
Author(s):  
Veronica De Simone ◽  
Annalisa Dalmoro ◽  
Gaetano Lamberti ◽  
Matteo d'Amore ◽  
Anna Angela Barba
Keyword(s):  
Central Composite Design ◽  
Process Parameters ◽  
Flow Rate ◽  
Combined Effects ◽  
Central Composite

Combined effects of rpm, binder volume and binder flow rate on granulation yield and flowability properties have been investigated.

scholarly journals Karakterisasi Mutu Ekstrak Kopi Hijau di Jawa Timur untuk Meningkatkan Nilai Ekonominya sebagai Bahan Sediaan Obat

2020 ◽  
Vol 9 (3) ◽  
pp. 228-240
Author(s):  
Claudia Gadizza Perdani ◽  
◽  
Dodyk Pranowo ◽  
Susinggih Wijana ◽  
Delia Muliawati ◽  
...  
Keyword(s):  
Central Composite Design ◽  
Response Surface ◽  
Response Surface Method ◽  
Surface Method ◽  
Central Composite

Kandungan polifenol dalam kopi hijau berpotensi menurunkan akumulasi lemak viseral sehingga dapat menurunkan kadar kolesterol total secara signifikan. Kopi hijau memiliki rasa kurang nikmat ketika dikonsumsi, sehingga perlu penelitian mengenai ekstraksi polifenol untuk diolah sebagai produk bernilai jual tinggi. Tujuan dari penelitian ini adalah optimasi kombinasi konsentrasi dan rasio penambahan pelarut yang optimal dalam menghasilkan rendemen dan kadar fenol tertinggi pada proses ekstraksi senyawa polifenol biji kopi hijau. Metode optimasi yang digunakan adalah Response Surface Method dengan Central Composite Design. Penelitian dilakukan menggunakan dua variabel optimasi yaitu konsentrasi pelarut etanol (60–90%) dan rasio pelarut (20–40 ml/g). Respon yang diukur adalah total fenol dan rendemen ekstrak. Kondisi optimum yang diperoleh adalah pada ekstraksi menggunakan konsentrasi pelarut 84,92% dan rasio 40 ml/g dengan desirability sebesar 0,87. Hasil prediksi program menghasilkan total fenol sebesar 534,50 mg GAE/g dan rendemen ekstrak 17,179%. Hasil verifikasi solusi optimal adalah total fenol sebesar 538,83 mg GAE/g dan rendemen 15,39%.

scholarly journals Research and Modelling of Surface Roughness, Cutting Forces and I-kaz Coefficients for S42C in Turning using Response Surface Methodology

2019 ◽  
Vol 8 (12S2) ◽  
pp. 608-620
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Statistical Analysis ◽  
Response Surface ◽  
Cutting Parameters ◽  
Machining Process ◽  
Regression Equations ◽  
Turning Process ◽  
Machining Processes ◽  
Surface Method

This paper presents the optimization in machining processes on the cutting parameters for the S45C in turning process using the response surface method (RSM). The experimental work conducted investigates the influence of cutting parameters on statistical analysis of signals and surface quality. The paper also presents a statistical analysis of signal processing. The cutting force was measured during machining using the Kistler 9129AA dynamometer to monitor the force signals and the data was analyzed using the I-kazTM method of statistical analysis. This statistical analysis was used to assess the effect of force signals during the machining process. The RSM models for Ra and Rz, and Ideveloped with ANOVA and multiple regression equations. The models also were compared and validated with the predicted and measured of Ra and Rz values, and I-kaz coefficients. The optimal configuration of cutting parameters was observed at 200 m/min, 0.1 mm/rev and 0.521 mm with desirability of 95.9%. It is observed that the models developed are suggested to be utilized for predicting surface roughness values and I-kaz coefficients for the machining of S45C steel.

scholarly journals CENTRAL COMPOSITE DESIGN APPLIED IN HPLC OPTIMIZATION FOR ANALYSIS OF TARTRAZINE AND AURAMINE O IN POWDER DRINKS

2019 ◽  
pp. 211-215
Author(s):  
ANNISA DYAH LESTARI ◽  
Abdul Rohman ◽  
SUDIBYO MARTONO
Keyword(s):  
Central Composite Design ◽  
Flow Rate ◽  
Retention Time ◽  
Mobile Phase ◽  
Ammonium Acetate ◽  
Acetate Buffer ◽  
Ammonium Acetate Buffer ◽  
Acetate Concentration ◽  
Rp Hplc ◽  
Central Composite

Objective: This study was intended to optimize reversed-phase high-performance liquid chromatography (RP-HPLC) method for the determination of Tartrazine (TAR) and Auramin O (AUO) in powder drinks using experimental design of central composite design (CCD) approach. Methods: TAR and AUO in powder drink product has same properties, therefore both analytes were analysed using C18 column (XBridge Shield RP 18 250 mm x 4.6 mm i.d., 5 µm) using Shimadzu LC 20AD chromatograph equipped with photo-diode array (PDA) detector at 300-650 nm. Some factors responsible for RP-HPLC separation of TAR and AUO including the concentration of buffer, the ratio of mobile phase and flow rate were optimized using CCD. The responses evaluated were peak area, retention time, and tailing factor. The mobile phase used was acetonitrile and ammonium acetate buffer, and acetonitrile composition was optimized at 84-86% for separation of TAR and AUO, delivered at a flow rate of 0.8–1.2 ml/min, using ammonium acetate buffer at 19-21 mmol. Results: CCD showed that separation of TAR and AUO was influenced by flow rate, the ratio of acetonitrile and ammonium acetate concentration. These factors affected significantly to retention time, peak area, and tailing factor. The optimal condition obtained based on CCD was flow rate of 1.2 ml/min, the ratio of acetonitrile 86%, and ammonium acetate concentration of 19 mmol. Conclusion: CCD can be used to get optimum condition for analysis of TAR and AUO in powder drink product.

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