Statistical Investigation of the Effect of Process Parameters on the Shear Strength of Metal Adhesive Joints

2016 ◽  
Vol 98 (3) ◽  
pp. 335-342 ◽  
Author(s):  
Goribidanur Rangappa Rajkumar ◽  
Munishamaih Krishna ◽  
Hebbale Narayanrao Narasimhamurthy ◽  
Yalanabhalli Channegowda Keshavamurthy
Keyword(s):  
Shear Strength ◽  
Process Parameters ◽  
Statistical Investigation ◽  
Adhesive Joints

scholarly journals The Influence of Sandblasting Process Parameters of Aerospace Aluminium Alloy Sheets on Adhesive Joints Strength

Materials ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6626
Author(s):  
Izabela Miturska-Barańska ◽  
Anna Rudawska ◽  
Elżbieta Doluk
Keyword(s):  
Shear Strength ◽  
Aluminium Alloy ◽  
Process Parameters ◽  
Preparation Method ◽  
Incidence Angle ◽  
Surface Preparation ◽  
Epoxy Adhesive ◽  
Adhesive Joints ◽  
Displacement Speed ◽  
Pressure Nozzle

In this study, the influence of sandblasting process parameters as a surface preparation method on the strength of single-lap adhesive joints of EN AW 2024 T3 aerospace aluminium alloy sheets was determined. Eleven sets of sandblasting parameters were used, which were determined according to a determined experimental plan. The variable factors in the sandblasting process were pressure, nozzle distance, and workpiece displacement speed. The sand jet incidence angle was constant. Garnet 80 E+ was the abrasive material that was used. The joints were made using an epoxy adhesive composition of Epidian 5 epoxy resin and a PAC curing agent. The influence of the surface preparation method on the surface roughness and contact angle to determine the surface free energy was evaluated. The shear strength of the adhesive joints was also determined, which finally allowed the evaluation of the applied surface treatment variants. The obtained results were subjected to statistical analysis, which indicated that the highest shear strength of the adhesive joints was obtained for samples whose surfaces were treated by sandblasting at parameter configurations in which the pressure was 5–6 × 105 Pa; the distance between the nozzle and the sandblasted surface should not be greater than 97 mm, and the speed at which the workpiece moves in relation to the nozzle should not be greater than 75 mm/min.

Multi-objective Optimization of UV Spot Curing Technique of Slider - Suspension Attachment Process Using Response Surface Methodology Approach

2021 ◽  
Author(s):  
Santi Pumkrachang
Keyword(s):  
Response Surface Methodology ◽  
Shear Strength ◽  
Response Surface ◽  
Process Parameters ◽  
Epoxy Adhesive ◽  
Quadratic Model ◽  
Uv Curable ◽  
Multi Objective ◽  
Validation Experiment ◽  
Cure Time

The ultraviolet (UV) curing of slider-suspension attachment is going to change from a manual to an automated process. As a result, the bonding parameters of adhesive between slider and suspension needs to be optimized. This paper aims to study two output responses of the UV curable epoxy adhesive i.e., shear strength force and pitch static attitude (PSA) of the joint between slider and suspension in a head gimbal assembly (HGA). Four process parameters were investigated using response surface methodology (RSM) based on face-centered central composite design (FCCD). The RSM was applied to establish a mathematical model to correlate the significance of process parameters and the responses. Then the based multi-objective was applied to determine a quadratic model and obtained the output maximization at 224 g of shear strength force and PSA value close to the target at 1.8 degrees. The input process parameters were optimized at 0.7 s of UV bottom cure time, 120 °C of UV dual side temperature, 5.0 s of UV dual side cure time, and 230 μm of adhesive dot size. The validation experiment showed a prediction response error of less than 7% of the actual value.

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.

Effect of Adhesive Layer Thickness on the Shear Strength of Adhesively Bonded Steel Joints in Wet Environment

2016 ◽  
Vol 836 ◽  
pp. 78-82 ◽  
Author(s):  
Sugiman ◽  
Ilham Akbar ◽  
Emmy Dyah Sulistyowati ◽  
Paryanto Dwi Setyawan
Keyword(s):  
Mechanical Properties ◽  
Shear Strength ◽  
Adhesive Layer ◽  
Static Strength ◽  
Adhesive Joints ◽  
Deionized Water ◽  
Adhesively Bonded ◽  
Moist Environment ◽  
Adhesive Thickness ◽  
Steel Joints

The paper presents the static strength of adhesively bonded steel joints aged in deionized water at a temperature of 60°C for 15 days at various adhesive thicknesses from 0.1 mm to 0.5 mm. Water uptake and the bulk adhesive tensile properties after aged in the same environment as the joints were also presented. It has been shown that water diffusion into the adhesive is non Fickian. The absorbed water in the adhesive significantly decreases the mechanical properties and it affects the static strength of the bonded steel joints. The effect of water is shown to be significant when the adhesive thickness is thicker than 0.2 mm as the static strength decreases sharply. This information is useful when designing the adhesive joints using thick adhesive layer exposed in moist environment.

Comparative Analysis of Shear Strength of Single-Lap Adhesive Joints after "Thermal Shock"

2015 ◽  
Vol 791 ◽  
pp. 224-231
Author(s):  
Mariusz Kłonica
Keyword(s):  
Shear Strength ◽  
Comparative Analysis ◽  
Epoxy Resins ◽  
Adhesive Joints ◽  
Strength Tests ◽  
Before And After ◽  
316L Steel ◽  
Scientific Standards ◽  
Static Shear ◽  
Comparative Nature

The paper presents a comparative analysis of static shear strength of single-lap adhesive joints of 316L steel, before and after mechanical treatment with a coated abrasive tool. The research was of comparative nature and focused on adhesive joints subjected to variable thermal stress and adhesive joints not subjected to such shock. Adhesives based on epoxy resins were used. The results of static shear strength tests of single-lap adhesive joints for different variations of material preparing were analysed. The obtained results were analysed statistically and in compliance with relevant scientific standards. The scope of tests covered a relatively short fatigue cycle, i.e. 200 cycles in the range of temperatures between-40°C and +60°C. The main aim of the research was to determine the relation between joint strength and thermal fatigue. The paper presents conclusions resulting from the conducted research.

Void Formation and Bond Strength Investigated for Wafer-Level Cu-Sn Solid-Liquid Interdiffusion (SLID) Bonding

2014 ◽  
Vol 11 (1) ◽  
pp. 1-6
Author(s):  
Astrid-Sofie B. Vardøy ◽  
H. J. van de Wiel ◽  
Stian Martinsen ◽  
Greg R. Hayes ◽  
Hartmut R. Fischer ◽  
...  
Keyword(s):  
Shear Strength ◽  
Process Parameters ◽  
Storage Time ◽  
Void Formation ◽  
Wafer Level ◽  
Lower Range ◽  
Thermal Budget ◽  
Average Value ◽  
Application Analysis ◽  
Solid Liquid

Hermetic wafer-level Cu-Sn solid-liquid interdiffusion (SLID) bonding was investigated to explore the sensitivity of selected process parameters with regard to voiding and possible reduction of strength. Little or no variation was observed in the void density as a result of modifying the plated Sn thickness, the storage time between plating and bonding, the bonding tool pressure, or the thermal budget during bonding. All shear tested samples showed excellent shear strength, with an average value within 110–164 MPa. Some statistically significant differences in shear strength were found due to the variations of the process parameters. However, the differences were too small to be critical for the application. Analysis of fracture surfaces showed that the shear strengths in the lower range corresponded to fracture between the adhesion layer (TiW) and the silicon cap, while shear strengths in the higher range corresponded to fracture in the Cu3Sn formed during the bonding. The results indicate that the investigated bonding process is robust with regard to the studied process parameters.

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