Chongqing Li, M. Z. Abdullah, Ishak Abdul Aziz, C. Khor, M. S. Abdul Aziz
{"title":"用响应面法优化气流和热效应对柔性印刷电路板的冷却","authors":"Chongqing Li, M. Z. Abdullah, Ishak Abdul Aziz, C. Khor, M. S. Abdul Aziz","doi":"10.1108/mi-06-2021-0049","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study aims to investigate the interaction of independent variables [Reynolds number (Re), thermal power and the number of ball grid array (BGA) packages] and the relation of the variables with the responses [Nusselt number ((Nu) ¯ ), deflection/FPCB’s length (d/L) and von Mises stress]. The airflow and thermal effects were considered for optimizing the Re of various numbers of BGA packages with thermal power attached on flexible printed circuit board (FPCB) for optimum cooling performance with least deflection and stress by using the response surface method (RSM).\n\n\nDesign/methodology/approach\nFlow and thermal effects on FPCB with heat source generated in the BGA packages have been examined in the simulation. The interactive relationship between factors (i.e. Re, thermal power and number of BGA packages) and responses (i.e. deflection over FPCB length ratio, stress and average Nusselt number) were analysed using analysis of variance. RSM was used to optimize the Re for the different number of BGA packages attached to the FPCB.\n\n\nFindings\nIt is important to understand the behaviour of FPCB when exposed to both flow and thermal effects simultaneously under the operating conditions. Maximum d/L and von Misses stress were significantly affected by all parametric factors whilst (Nu)¯ is significantly affected by Re and thermal power. Optimized Re for 1–3 BGA packages with maximum thermal power applied has been identified as 21,364, 23,858 and 29,367, respectively.\n\n\nPractical implications\nThis analysis offers a better interpretation of the parameter control in FPCB with optimized Re for the use of force convection electronic cooling. Optimal Re could be used as a reference in the thermal management aspect in designing the BGA package.\n\n\nOriginality/value\nThis research presents the parameters’ effects on the reliability and heat transfer in FPCB design. It also presents a method to optimize Re for the different number of BGA packages attached to increase the reliability in FPCB’s design.\n","PeriodicalId":49817,"journal":{"name":"Microelectronics International","volume":" ","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimization of flexible printed circuit board’s cooling with air flow and thermal effects using response surface methodology\",\"authors\":\"Chongqing Li, M. Z. Abdullah, Ishak Abdul Aziz, C. Khor, M. S. Abdul Aziz\",\"doi\":\"10.1108/mi-06-2021-0049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThis study aims to investigate the interaction of independent variables [Reynolds number (Re), thermal power and the number of ball grid array (BGA) packages] and the relation of the variables with the responses [Nusselt number ((Nu) ¯ ), deflection/FPCB’s length (d/L) and von Mises stress]. The airflow and thermal effects were considered for optimizing the Re of various numbers of BGA packages with thermal power attached on flexible printed circuit board (FPCB) for optimum cooling performance with least deflection and stress by using the response surface method (RSM).\\n\\n\\nDesign/methodology/approach\\nFlow and thermal effects on FPCB with heat source generated in the BGA packages have been examined in the simulation. The interactive relationship between factors (i.e. Re, thermal power and number of BGA packages) and responses (i.e. deflection over FPCB length ratio, stress and average Nusselt number) were analysed using analysis of variance. RSM was used to optimize the Re for the different number of BGA packages attached to the FPCB.\\n\\n\\nFindings\\nIt is important to understand the behaviour of FPCB when exposed to both flow and thermal effects simultaneously under the operating conditions. Maximum d/L and von Misses stress were significantly affected by all parametric factors whilst (Nu)¯ is significantly affected by Re and thermal power. Optimized Re for 1–3 BGA packages with maximum thermal power applied has been identified as 21,364, 23,858 and 29,367, respectively.\\n\\n\\nPractical implications\\nThis analysis offers a better interpretation of the parameter control in FPCB with optimized Re for the use of force convection electronic cooling. Optimal Re could be used as a reference in the thermal management aspect in designing the BGA package.\\n\\n\\nOriginality/value\\nThis research presents the parameters’ effects on the reliability and heat transfer in FPCB design. 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Optimization of flexible printed circuit board’s cooling with air flow and thermal effects using response surface methodology
Purpose
This study aims to investigate the interaction of independent variables [Reynolds number (Re), thermal power and the number of ball grid array (BGA) packages] and the relation of the variables with the responses [Nusselt number ((Nu) ¯ ), deflection/FPCB’s length (d/L) and von Mises stress]. The airflow and thermal effects were considered for optimizing the Re of various numbers of BGA packages with thermal power attached on flexible printed circuit board (FPCB) for optimum cooling performance with least deflection and stress by using the response surface method (RSM).
Design/methodology/approach
Flow and thermal effects on FPCB with heat source generated in the BGA packages have been examined in the simulation. The interactive relationship between factors (i.e. Re, thermal power and number of BGA packages) and responses (i.e. deflection over FPCB length ratio, stress and average Nusselt number) were analysed using analysis of variance. RSM was used to optimize the Re for the different number of BGA packages attached to the FPCB.
Findings
It is important to understand the behaviour of FPCB when exposed to both flow and thermal effects simultaneously under the operating conditions. Maximum d/L and von Misses stress were significantly affected by all parametric factors whilst (Nu)¯ is significantly affected by Re and thermal power. Optimized Re for 1–3 BGA packages with maximum thermal power applied has been identified as 21,364, 23,858 and 29,367, respectively.
Practical implications
This analysis offers a better interpretation of the parameter control in FPCB with optimized Re for the use of force convection electronic cooling. Optimal Re could be used as a reference in the thermal management aspect in designing the BGA package.
Originality/value
This research presents the parameters’ effects on the reliability and heat transfer in FPCB design. It also presents a method to optimize Re for the different number of BGA packages attached to increase the reliability in FPCB’s design.
期刊介绍:
Microelectronics International provides an authoritative, international and independent forum for the critical evaluation and dissemination of research and development, applications, processes and current practices relating to advanced packaging, micro-circuit engineering, interconnection, semiconductor technology and systems engineering. It represents a current, comprehensive and practical information tool. The Editor, Dr John Atkinson, welcomes contributions to the journal including technical papers, research papers, case studies and review papers for publication. Please view the Author Guidelines for further details.
Microelectronics International comprises a multi-disciplinary study of the key technologies and related issues associated with the design, manufacture, assembly and various applications of miniaturized electronic devices and advanced packages. Among the broad range of topics covered are:
• Advanced packaging
• Ceramics
• Chip attachment
• Chip on board (COB)
• Chip scale packaging
• Flexible substrates
• MEMS
• Micro-circuit technology
• Microelectronic materials
• Multichip modules (MCMs)
• Organic/polymer electronics
• Printed electronics
• Semiconductor technology
• Solid state sensors
• Thermal management
• Thick/thin film technology
• Wafer scale processing.