• DocumentCode
    1424061
  • Title

    Sn–Cu–Ni Soldering Process Optimization Using Multivariate Analysis

  • Author

    Huang, Chien-Yi ; Huang, Hui-Hua ; Ying, Kuo-Ching

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • Volume
    2
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    527
  • Lastpage
    535
  • Abstract
    One lead free solder candidate, Sn-Ag-Cu305 (Sn96.5/Ag3.0/Cu0.5), has come into widespread use as a replacement for traditional tin-lead solder (Sn63/Pb37). However, the price of silver has increased dramatically in recent years. This has increased manufacturing costs, impacting firm competitiveness. This paper evaluates the performance of the low cost Sn-Cu-Ni solder alloy used for wave soldering. Sample products for several applications are used to assess critical factors in the wave soldering process. A principal component analysis was performed in this paper to integrate multiple quality characteristics, namely assembly yield and solder joint strength, for process development. As a result, a parameter combination of 270 soldering temperature and 8 s dwell time is recommended. A test vehicle with daisy-chain circuitry design is used to investigate the performance of samples prepared by the optimal process. Samples are subject to the thermal cycling test. The performance of the recommended process is therefore verified.
  • Keywords
    principal component analysis; wave soldering; assembly yield; daisy-chain circuitry design; impacting firm competitiveness; lead free solder candidate; manufacturing cost; multivariate analysis; optimal process; principal component analysis; process development; silver; solder joint strength; soldering process optimization; temperature 270 C; test vehicle; thermal cycling test; tin-lead solder; wave soldering process; Copper; Materials; Pins; Principal component analysis; Soldering; Temperature; Lead-free solder; Sn–Cu–Ni solder; multivariate analysis; process optimization;
  • fLanguage
    English
  • Journal_Title
    Components, Packaging and Manufacturing Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2156-3950
  • Type

    jour

  • DOI
    10.1109/TCPMT.2011.2177093
  • Filename
    6132413