Down Milling Trimming Process Optimization for Carbon Fiber-Reinforced Plastic by Saiful Bahri Mohamed & Radzuwan Ab Rashid & Martini Muhamad & Jailani Ismail

Author:Saiful Bahri Mohamed & Radzuwan Ab Rashid & Martini Muhamad & Jailani Ismail
Language: eng
Format: epub
ISBN: 9789811318047
Publisher: Springer Singapore

2.4.2 The 23 Factorial Design

The two-level full factorial design is utilized to determine which factors contribute to an important effect on the output of the reaction and distinguishing the relations between factors.

2k runs with each factor at two levels are required for factorial design. The number of factors is represented by k while the number of levels is represented by 2. There are two levels for each factor which is known as low and high (often labeled + and −). Cox and Reid [28] have tested all possible factor-level combinations and found that two-level full factorial design is the simplest form of factorial designs. In this experiment, eight runs of experiment are required for a two-level full factorial design of three factors. To increase the accuracy of the value on the effect and gain other information on the process variation, the run was duplicated with a new batch of work material. The experiments are repeated and run in different times to escalate the accuracy of model. Two-level full factorial design is a very practical design for introductory analysis and able to put off unimportant factors and also allows initial study of interactions. Thus, it gives a full understanding of the structure of the design. A, B, and C are the three factors of 23 design which each of them has two levels. It can be understood by referring to Fig. 2.1. Three factors and two levels are commonly done as they are attainable and manageable most of the times. The geometric view of design matrix shows orthogonality all possible corner experiments run.

Fig. 2.123 factorial design [28]

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