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Technological Process Innovation via Engineering and Statistical Knowledge Integration

  • Biagio Palumbo
  • Gaetano De Chiara
  • Roberto Marrone

Abstract

This chapter shows the strategic role that a systematic approach to planning for a designed industrial experiment plays in technological process innovation. Guidelines already proposed in the literature emphasizing the pre-experimental planning phase are customized and applied in a case study concerning the laser drilling process of a combustion chamber in aerospace industry. The team approach is the real driving force for pre-experimental activities; it enables the integration of engineering and statistical knowledge, catalyzes process innovation and, moreover, it allows a virtuous cycle of sequential learning to be put into action. The innovative technological results obtained in the first screening experimental phase are presented. Since these results arise from a sound systematic approach, they enable a future experimental phase on optimization and robustness to be planned. The case study of a laser drilling process provides a best-practice guide to synergic collaboration and partnership between academic statisticians and industrial practitioners; it was developed by AVIO, an aerospace company at the leading edge of propulsion technology.

Keywords

Combustion Chamber Sequential Learning Recast Layer Industrial Experiment Laser Drilling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer 2009

Authors and Affiliations

  • Biagio Palumbo
    • 1
  • Gaetano De Chiara
    • 2
  • Roberto Marrone
    • 2
  1. 1.Department of Aerospace EngineeringUniversity of Naples Federico IINaplesItaly
  2. 2.AVIO S.p.A., Manufacturing Technologies DepartmentPomiglianoNaplesItaly

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