Quality improvement of Nd: YAG laser marked DMC and QR codes on the surface of PBT/glass fiber composites by DOE methodology

Author:

Sales-Contini Rita de Cássia Mendonça12ORCID,Costa João Pedro1,Pinto Arnaldo MG1,Silva Francisco JG134,Pinto Isabel M15,Sousa Vitor FC13

Affiliation:

1. CIDEM, ISEP, Polytechnic of Porto, Porto, Portugal

2. Professor Jessen Vidal, College of Technology São José dos Campos, Centro Paula Souza, São José dos Campos/SP, Brazil

3. INEGI - Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Porto, Portugal

4. Associate Laboratory for Energy, Transports and Aerospace (LAETA-INEGI), Porto, Portugal

5. Mathematical Engineering Laboratory, LEMA, Porto, Portugal

Abstract

Laser technology plays an important role in today’s industrial environment. Laser marking is typically used at the end of the production chain to personalize products and make them traceable to the point of sale. One of the challenges of laser marking is the difficulty of creating contrasts whose reflectivity can cause readability problems for electronic decoding devices on production lines, known as scanners. This problem is related to the wrong choice of marking parameters, which results in waste for companies in terms of production stoppages due to rejection, scrap, and customer complaints. Although these problems are common, this process is increasingly used in the industry. Therefore, there is a gap in studies in this field to optimize the marking parameters in many materials, such as PBT (polybutylene terephthalate). The present work was developed in a final assembly line of instrument clusters for motorcycles, where tests were carried out with different types of laser marking parameters, through the implementation of a factorial DoE, with a specific type of laser and material. The laser-marked codes were analyzed in a laboratory using a verifier to assess quality according to ISO/IEC 29158:2020. It was found that the lower the parameter values, the poorer the quality of the codes. The data were statistically processed, and it was possible to identify the marking parameters that ensured the best quality and process performance for DMC and QR codes.

Publisher

SAGE Publications

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