Effect of Different Laser Welding Parameter on Welding Strength in Polymer Transmission Welding Using Semiconductor

2020 ◽  
Vol 38 (5A) ◽  
pp. 761-768
Author(s):  
Farah M. Shakera ◽  
Mohannad M. Al-Khafaji ◽  
Kadhim A. Hubeatir
Keyword(s):  
Process Parameters ◽  
Welding Speed ◽  
Orthogonal Array ◽  
Signal To Noise Ratio ◽  
Spot Size ◽  
Welding Parameter ◽  
Signal To Noise ◽  
Laser Transmission Welding ◽  
Taguchi Orthogonal Array ◽  
Welding Strength

In this work, the diode laser (810μm wavelength) was used for laser transmission welding application on PMMA (polymethylmethacrylate). The welding was done between opaqueness and transparent with thickness 2 mm and 2.57 mm, respectively. The effects of different process parameters, laser speed, spot size and force with different values (5, 15, 20 mm/min), (2, 2.5, 3mm) and (2, 6, 10 N) respectively were used to study their effect on weld width and strength. L9 Taguchi orthogonal array has been used to design the experiments and optimize the result. The result of the signal to noise ratio shows that, the width of welding decrease with increasing both the welding speed and the spot size while it was increased with increasing the force on the sample. The narrower width observed at speed (20mm/min), spot size (3mm), and force (2N). Also, the best strength was found at speed (15 mm/min), spot size (2.5mm), and force (10N).

scholarly journals PENGARUH PARAMETER MENGGURDI BERTAHAP TERHADAP TERBENTUKNYA RASIO DELAMINASI BAIK PADA SISI MASUK MAUPUN SISI KELUAR LUBANG

2019 ◽  
Vol 9 (2) ◽  
pp. 245
Author(s):  
Irwan Kurniawan
Keyword(s):  
Orthogonal Array ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Anova Analysis ◽  
Taguchi Orthogonal Array ◽  
Noise Ratio

Delaminasi merupakan salah satu jenis kerusakan  kritis pada material Komposit. Delaminasi terjadi akibat sebagian dari benda kerja tidak terpotong secara sempurna akan tetapi dilakukan proses pemotongan dengan cara memberikan penekanan melalui pahat gurdi ke material, justru yang terjadi deformasi plastis disebabkan mekanisme penekanan, pada umumnya kondisi seperti ini terjadi pada material  lunak yang memiliki mampu mesin yang rendah dan cenderung menghasilkan cacat seperti delaminasi baik pada bagian masuk (Entrance) maupun keluar lubang (Exit).  penggunaan geometri pahat yang dimodifikasi bertingkat bukanlah  merupakan  kondisi yang  terjadi sebenarnya. Untuk saat ini, kondisi tersebut baru dapat dipenuhi dalam  skala laboratorium, untuk  kondisi sebenarnya penggunaan  metoda menggurdi Step drilling ( Page Drilling Cycle) yang paling memungkinkan  Oleh karena itu pada penelitian ini difokuskan untuk melihat peluang penggunaan metoda  menggurdi bertahap. Dengan menggunakan Rancangan  Metode Taguchi Orthogonal Array L36 pengamatan dilakukan. Hasilnya dianalisa dengan  menggunakan metoda Signal-to-Noise Ratio (S/N ratio) dan ANOVA (Analysis of Variances).  Hasil dari   S/N ratio mengindikasikan bahwa gerak makan kontribusinya sangat kecil untuk menggurangi delaminasi dalam  suatu sistem pemotongan kemungkinan ini disebakan karena gerak makan yang diberikan itu merupakan  rentang yang kecil secara teoritis tidak akan berpengaruh besar terhadap terbentukanya delaminasi 

scholarly journals ptimization the Parameters of Magnetic Abrasive Process Using Taguchi Method to Improve the Surface Roughness

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Shakir M Mousa
Keyword(s):  
Surface Roughness ◽  
Orthogonal Array ◽  
Signal To Noise Ratio ◽  
Cutting Speed ◽  
Quality Level ◽  
Work Piece ◽  
Signal To Noise ◽  
Taguchi Orthogonal Array ◽  
Input Parameters ◽  
Noise Ratio

Abstract   Magnetic abrasive finishing (MAF) process is one of non-traditional or advanced finishing methods which is suitable for different materials and produces high quality level of surface finish where it uses magnetic force as a machining pressure. A set of experimental tests was planned according to Taguchi orthogonal array (OA) L27 (36) with three levels and six input parameters. Experimental estimation and optimization of input parameters for MAF process for stainless steel type 316 plate work piece, six input parameters including amplitude of tooth pole, and number of cycle between teeth, current, cutting speed, working gap, and finishing time, were performed by design of experiment (DOE) and response surface methodology (RSM).These six input parameters in this research were optimized  for all input parameters to improve the surface layer for work piece by using signal-to-noise ratio technique. The obtained results showed that all six input parameters have an influence on the change in surface roughness(∆Ra). In addition, the results showed that the surface roughness of the work piece decreased from 1.130 to 0.370µm that means high level of improvement in the change of surface roughness (0.760)µm. Keywords: MAF process, MINITAB software, parameters, Signal-to-Noise ratio, surface roughness, Taguchi orthogonal array.

PENGARUH VARIABEL PEMOTONGAN TERHADAP KEAUSAN ELEKTRODA DAN BENDA KERJA PADA PROSES EDM

ROTASI ◽  
2014 ◽  
Vol 16 (4) ◽  
pp. 9
Author(s):  
Petrus Londa
Keyword(s):  
Wear Rate ◽  
Analysis Of Variance ◽  
Material Removal Rate ◽  
Orthogonal Array ◽  
Material Removal ◽  
Removal Rate ◽  
Signal To Noise Ratio ◽  
Electrode Wear ◽  
Signal To Noise ◽  
Electrode Wear Rate

Keausan elektroda pada proses EDM die sinking adalah peristiwa yang tidak dapat di hindari, namun dengan mengatur variabel pemotongan yang sesuai, diharapkan keausan yang terjadi se-minim mungkin sehingga dapat menjamin tingkat akurasi ukuran pada benda kerja yang di hasilkan. Pada penelitian ini di pilih metode Taguchi untuk menentukan variabel pemotongan yang optimum pada elektroda tembaga dan benda kerja dari bahan K460 (amutit S). Taguchi L9 orthogonal array, signal-to-noise ratio (S/N ratio) dan analysis of variance (ANOVA) dapat menentukan performa variabel proses EDM (PON, POFF, QDON dan GAP) dengan parameter yang di teliti adalah Electrode Wear Rate (EWR) dan Material Removal Rate (MRR). Hasil dari eksperimen tersebut di tampilkan dalam bentuk tabel-tabel dan grafik

Experimental Investigation on Laser Transmission Welding of Polycarbonate and Acrylic

2021 ◽  
pp. 160-180
Author(s):  
Dhiraj Kumar ◽  
Sudipta Paitandi ◽  
Arunanshu Shekhar Kuar ◽  
Dipankar Bose
Keyword(s):  
Mathematical Model ◽  
Process Parameters ◽  
Welding Speed ◽  
Laser Power ◽  
Optimum Parameter ◽  
Optimization Technique ◽  
Welding Process ◽  
Parameter Setting ◽  
Laser Transmission Welding ◽  
Weld Width

This chapter presents the effect of various process parameters, namely laser power, pulse frequency, and welding speed, on the weld shear strength and weld width using a diode laser system. Here, laser transmission welding of transparent polycarbonate and black carbon filled acrylic each of 2.8 mm thickness have been performed to create lap joint by using low power laser. Response surface methodology is applied to develop the mathematical model between the laser welding process parameters and the responses of weld joint. The developed mathematical model is tested for its adequacy using analysis of variance and other adequacy measures. It has been observed that laser power and welding speed are the dominant factor followed by frequency. A confirmation test has also been conducted to validate the experimental results at optimum parameter setting. Results show that weld strength of 34.3173 N/mm and weld width of 2.61547 mm have been achieved at optimum parameter setting using desirability function-based optimization technique.

Modeling of Weld Lap-Shear Strength for Laser Transmission Welding of Thermoplastic Using Artificial Neural Network

2012 ◽  
Vol 445 ◽  
pp. 454-459 ◽  
Author(s):  
M.R. Nakhaei ◽  
N.B. Mostafa Arab ◽  
F. Kordestani
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Shear Strength ◽  
Laser Welding ◽  
Process Parameters ◽  
Welding Speed ◽  
Laser Power ◽  
Laser Transmission Welding ◽  
Lap Shear Strength ◽  
Lap Shear

Laser welding of plastic materials has a wide range of applications in the packaging, medical, electronics and automobile industries provided it can predict high quality welds compared with other joining methods. Laser welding process parameters can affect the quality of welds. In this paper, Artificial Neural Network (ANN) is used to model the effects of laser power, welding speed, clamp pressure and stand-off distance on weld lap-shear strength in laser transmission welding (LTW) of acrylic (polymathy methacrylate). A set of experimental data on diode laser weld lap-shear strengths was used to train and test the ANN from which the neurons relations were gradually extracted to develop a model. The developed ANN model can be used for the analysis and prediction of the complex relationships between the above mentioned process parameters and weld lap-shear strength. The results indicated that increase in laser power and clamp pressure increases the weld lap-shear strength whereas welding speed and stand off distance had a decreasing affect on shear strength at high value.

scholarly journals Optimizing Some Process Parameters in Aluminium Bagasse Ash Reinforced Composite

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Aminu M Audu ◽  
Oyihi B Oloche ◽  
Ferguson H Tobins ◽  
Ibrahim D Muhammad
Keyword(s):  
Impact Strength ◽  
Yield Strength ◽  
Melting Temperature ◽  
Analysis Of Variance ◽  
Process Parameters ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Reinforced Composite ◽  
Stirring Time ◽  
The Impact

Optimization of process parameters in aluminum bagasse ash reinforced composite was studied using Taguchi L16 standard orthogonal array for the design of experiment, with the weight percentage of bagasse ash, melting temperature, stirring time and stirring speed as the control factors considered and impact and yield strengths as responses. Sixteen experiments were conducted through stir casting rout, impact and tensile tests were concluded on the samples. Analysis of variance (ANOVA) and the signal to noise ratio were analyzed using the results of the tests. The analysis of variance and main effect plot show that the weight of bagasse is the most critical and contribute over 82% to the impact strength and over 96% to the yield strength. The signal to noise ratio provided the optimal parameters as 5% weight of bagasse, 730oC melting temperature, 2.5 minutes stirring time and 450 rpm stirring speed on the impact strength. The yield strength optimality according to Table 7 for the factors are 15% weight of bagasse, 880oC melting temperature, 2 minutes stirring time, and 500 rpm stirring speed. So, the weight of bagasse improves the mechanical properties of the composite, and sample 5 is the toughest of the materials having the highest impact Energy.Keywords- aluminium alloy, bagasse ash, impact energy, optimization, process parameters, yield strength

Optimisation of Process Parameters for Lower Leakage Current in 22 nm n-type MOSFET Device using Taguchi Method

2014 ◽  
Vol 68 (4) ◽  
Author(s):  
Afifah Maheran, A. H. ◽  
Menon, P. S. ◽  
I. Ahmad ◽  
S. Shaari
Keyword(s):  
Leakage Current ◽  
Process Parameters ◽  
Orthogonal Array ◽  
Signal To Noise Ratio ◽  
Electrical Characterization ◽  
Mean Value ◽  
Oxide Semiconductor ◽  
Metal Gate ◽  
Technology Roadmap ◽  
Effect Transistor

In this article, Taguchi orthogonal array method was used to optimize the process parameters during the design of a 22 nm n-type Metal Oxide Semiconductor Field Effect Transistor (MOSFET) in order to decrease the leakage current (ILEAK) of the device. Titanium dioxide (TiO2) was used as the dielectric layer to replace the traditional silicon dioxide SiO2 and tungsten silicide (WSix) was used as a metal gate to replace polysilicon. The device’s fabrication and electrical characterization were executed using ATHENA and ATLAS modules from Silvaco International. Taguchi’s Power of Three Series L9 orthogonal array was used to optimize the device process parameters and to finally predict the best process parameter combination to obtain the minimum leakage current (ILEAK) using Smaller-the-Better (STB) signal-to-noise ratio (SNR). The optimization resulted in the attainment of the lowest ILEAK mean value of 0.25759 nA/µm which is in accordance to the predicted value given in the International Technology Roadmap for Semiconductors (ITRS) 2011.

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