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10 results on '"Ghaleeh, Mohammad"'

2. The durability of solder joints under thermo-mechanical loading : application to Sn-37Pb and Sn-3.8Ag-0.7Cu lead-free replacement alloy

Author

Ghaleeh, Mohammad and Reuben, R. L.

Subjects
671.5
Abstract

Solder joints in electronic packages provide mechanical, electrical and thermal connections. Hence, their reliability is also a major concern to the electronic packaging industry. Ball Grid Arrays (BGAs) are a very common type of surface mount technology for electronic packaging. This work primarily addresses the thermo-mechanical durability of BGAs and is applied to the exemplar alloys; traditional leaded solder and a popular lead-free solder. Isothermal mechanical fatigue tests were carried out on 4-ball test specimens of the lead-free (Sn-3.8Ag-0.7Cu) and leaded (Sn-37Pb) solder under load control at room temperature, 35°C and 75°C. As well as this, a set of combined thermal and mechanical cycling tests were carried out, again under load control with the thermal cycles either at a different frequency from the mechanical cycles (not-in-phase) or at the same frequency (both in phase and out-of-phase). The microstructural evaluation of both alloys was investigated by carrying out a series of simulated ageing tests, coupled with detailed metallurgical analysis and hardness testing. The results were treated to produce stress-life, cyclic behaviour and creep curves for each of the test conditions. Careful calibration allowed the effects of substrate and grips to be accounted for and so a set of strain-life curves to be produced. These results were compared with other results from the literature taking into account the observations on microstructure made in the ageing tests. It is generally concluded that the TMF performance is better for the Sn-Ag-Cu alloy than for the Sn-Pb alloy, when expressed as stress-life curves. There is also a significant effect on temperature and phase for each of the alloys, the Sn-Ag-Cu being less susceptible to these effects. When expressed as strain life, the effects of temperature, phase and alloy type are much diminished. Many of these conclusions coincided with only parts of the literature and reasons for the remaining differences are advanced.

Published
2015

4. Mathematical Modelling of Fused Deposition Modeling (FDM) 3D Printing of Poly Vinyl Alcohol Parts through Statistical Design of Experiments Approach

Author

Moradi, Mahmoud, primary, Karamimoghadam, Mojtaba, additional, Meiabadi, Saleh, additional, Casalino, Giuseppe, additional, Ghaleeh, Mohammad, additional, Baby, Bobymon, additional, Ganapathi, Harikrishna, additional, Jose, Jomal, additional, Abdulla, Muhammed Shahzad, additional, Tallon, Paul, additional, Shamsborhan, Mahmoud, additional, Rezayat, Mohammad, additional, Paul, Satyam, additional, and Khodadad, Davood, additional

Published
2023
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6. Mathematical modelling of fused deposition modeling (FDM) 3D printing of poly vinyl alcohol parts through statistical design of experiments approach

Author

Moradi, Mahmoud, Karamimoghadam, Mojtaba, Meiabadi, Saleh, Casalino, Giuseppe, Ghaleeh, Mohammad, Baby, Bobymon, Ganapathi, Harikrishna, Jose, Jomal, Abdulla, Muhammed Shahzad, Tallon, Paul, Shamsborhan, Mahmoud, Rezayat, Mohammad, Paul, Satyam, Khodadad, Davood, Moradi, Mahmoud, Karamimoghadam, Mojtaba, Meiabadi, Saleh, Casalino, Giuseppe, Ghaleeh, Mohammad, Baby, Bobymon, Ganapathi, Harikrishna, Jose, Jomal, Abdulla, Muhammed Shahzad, Tallon, Paul, Shamsborhan, Mahmoud, Rezayat, Mohammad, Paul, Satyam, and Khodadad, Davood

Abstract

This paper explores the 3D printing of poly vinyl alcohol (PVA) using the fused deposition modeling (FDM) process by conducting statistical modeling and optimization. This study focuses on varying the infill percentage (10–50%) and patterns (Cubic, Gyroid, tri-hexagon and triangle, Grid) as input parameters for the response surface methodology (DOE) while measuring modulus, elongation at break, and weight as experimental responses. To determine the optimal parameters, a regression equation analysis was conducted to identify the most significant parameters. The results indicate that both input parameters significantly impact the output responses. The Design Expert software was utilized to create surface and residual plots, and the interaction between the two input parameters shows that increasing the infill percentage (IP) leads to printing heavier samples, while the patterns do not affect the weight of the parts due to close printing structures. On the contrary, the discrepancy between the predicted and actual responses for the optimal samples is below 15%. This level of error is deemed acceptable for the DOE experiments.

Published
2023
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7. Mathematical modelling of fused deposition modeling (FDM) 3D printing of poly vinyl alcohol parts through statistical design of experiments approach

Author

Universitat Politècnica de Catalunya. Doctorat en Ciència i Enginyeria dels Materials, Universitat Politècnica de Catalunya. CIEFMA-PROCOMAME - Disseny Microestructural i Fabricació Avançada de Materials, Moradi, Mahmoud, Karamimoghadam, Mojtaba, Meiabadi, Saleh, Casalino, Giuseppe, Ghaleeh, Mohammad, Baby, Bobymon, Ganapathi, Harikrishna, Jose, Jomal, Shahzad Abdulla, Muhammed, Tallon, Paul, Shamsborhan, Mahmoud, Rezayat, Mohammad, Paul, Satyam, Khodadad, Davood, Universitat Politècnica de Catalunya. Doctorat en Ciència i Enginyeria dels Materials, Universitat Politècnica de Catalunya. CIEFMA-PROCOMAME - Disseny Microestructural i Fabricació Avançada de Materials, Moradi, Mahmoud, Karamimoghadam, Mojtaba, Meiabadi, Saleh, Casalino, Giuseppe, Ghaleeh, Mohammad, Baby, Bobymon, Ganapathi, Harikrishna, Jose, Jomal, Shahzad Abdulla, Muhammed, Tallon, Paul, Shamsborhan, Mahmoud, Rezayat, Mohammad, Paul, Satyam, and Khodadad, Davood

Abstract

This paper explores the 3D printing of poly vinyl alcohol (PVA) using the fused deposition modeling (FDM) process by conducting statistical modeling and optimization. This study focuses on varying the infill percentage (10–50%) and patterns (Cubic, Gyroid, tri-hexagon and triangle, Grid) as input parameters for the response surface methodology (DOE) while measuring modulus, elongation at break, and weight as experimental responses. To determine the optimal parameters, a regression equation analysis was conducted to identify the most significant parameters. The results indicate that both input parameters significantly impact the output responses. The Design Expert software was utilized to create surface and residual plots, and the interaction between the two input parameters shows that increasing the infill percentage (IP) leads to printing heavier samples, while the patterns do not affect the weight of the parts due to close printing structures. On the contrary, the discrepancy between the predicted and actual responses for the optimal samples is below 15%. This level of error is deemed acceptable for the DOE experiments., Peer Reviewed, Postprint (published version)

Published
2023

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