Research Output
Augmentation of the delamination factor in drilling of carbon fibre-reinforced polymer composites (CFRP)
Failure mode and effects analysis (FMEA) of furniture production: A case study in Kelantan state, Malaysia
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Publication
Carbon fibre-reinforced polymer (CFRP) composite materials play an increasingly important role in modern manufacturing, and they are among the more prominent materials used in aircraft manufacturing today. However, CFRP is highly prone to delamination and other damage when drilled due to it being extremely strong with a good strength-to-weight ratio and high thermal conductivity. Because of this problem and CFRP’s growing importance in aircraft manufacture, research has focused on the entry and exit holes as indicators of damage occurrence during drilling of screws, rivets, and other types of holes. The inside of the hole was neglected in past research and a proper way to quantify the internal side of a hole by combining the entry and exit hole should be included. To fill this gap and improve the use of CFRP, this paper reports a novel technique to measure the holes by using the extension of the adjusted delamination factor (SFDSR) for drilling thick CFRP composites in order to establish the influence of machining input variables on key output measures, i.e., delamination and other damages. The experimental results showed a significant difference in interpretation of the damage during the analysis. Improvement was made by providing better perspectives of identifying hole defects.
Publication
The primary objective of this research is to study the critical region of the local furniture manufacturing company by using a Failure Mode and Effects Analysis (FMEA). At the same time, the study also aims to help the organization to minimize production costs by presenting the preliminary stage of the results of the assessment. Many industries used FMEA as a method to improve the evaluation of the reliability of a production process. The use of FMEA is to analyze the layout characteristics of the planned production process in order to ensure that the final product meets customer requirements and expectations. It uses probabilities of detection and occurrence added with a few severity standards to create a risk priority number (RPN) for rating improvement action considerations. Utilized in both the manufacturing and design processes, they notably help to reduce cost factors with the aid of determining product and process improvements early within the development process while changes are inexpensively and relatedly easy to do. Based on the results, there were two failure modes with a higher RPN. The assessment is deductive as it periodically moves from one source to another. Thus, it can assist the company in improving its manufacturing process by reducing the mistakes that been made by identifying the cause and effect of it.