Skip to main content

ABOUT ME

 Hello everybody! 

I am Chang Ji Hinn, in this blog I will be documenting my journey through CP5070, Chemical Product Design & Development.

My goal for this module is to hone my skills on creating a chemical product and developing a prototype. I am also looking forward to learning about Arduino programming as this will be my first time being exposed to it.

In order to accomplish my goals, I will have to use the available resources on Brightspace to learn about Arduino programming as well as exploring the program and gadgets at my own time. To improve my skills in developing a prototype, I will need to work closely with my team to come up with great ideas on how to improve our product while at the same time cultivating my own skills using 3D printers and laser cutter.

I will know that I have accomplished my goals for this module if I am able to fully utilise and understand the coding and uno maker kit for the Arduino programming and having created a design that I am proud of.


Comments

Popular posts from this blog

Blog Entry 3 - Arduino Programming

Welcome back everybody! Today I will be sharing my experience my journey in Arduino Programming using the maker UNO kit as well as showing some of the the tasks that I have completed. Contents 1. Input devices:     a.  Interface a potentiometer analog input to maker UNO board and measure/show its signal           in serial monitor Arduino IDE.                                                                                        b.  Interface a LDR to Maker UNO board and measure/show its signal in serial                               monitor  Arduino IDE 2. Output devices:     a.  Interface 3 LEDs (Red, Yellow, Green) ...

Blog Entry 4 - Design Of Experiment

Welcome back everyone! In this blog entry I will be solving a case study using Design Of Experiments as well as sharing my reflections for DOE and the practical I did. What is Design Of Experiment?  It is a statistics-based approach to designing experiments A methodology used to obtain knowledge of a multi-variable process in fewest trials possible It is the backbone of product design Types of data analysis Full factorial data analysis Using data gathered from all possible runs  More accurate due to larger sample size Fractional factorial data analysis Uses data gathered from selected possible runs More efficient and resource-effective Case study In this case study, I will be investigating the cause of the loss in popcorn yield. Three factors have been identified as the possible cause. They are: Diameter of bowls to contain the corn Microwaving time Power setting of microwave In order to determine the impact of each factor, experiments will be conducted with each of ...