Posts

Project Development

Image
Our team Chemical Device For our project, we worked on creating a functional tea maker. Tea is one of the most widely consumed beverages in the world, however, the process of brewing tea is a tedious and time consuming one. Therefore, the main objective of our product is to make the tea preparation process more convenient and simpler for the user. By conducting some secondary research online, we found that there were some issues plaguing the current models of tea makers in the market. Firstly, tea makers can be quite expensive, especially those with many different functions. Next, tea makers tend to be made up of more intricate parts, making them more complex and complicated to use. Lastly, there is no way for the machine to alert its user once the tea is ready. Therefore, the tea maker we are making should be able to address these issues. Additionally, it should also be able to steep the tea at the desired temperature within the desired duration. The tea should be prepared to have the
Post a Comment
Read more

Hypothesis Testing

Image
  HYPOTHESIS TESTING TASK DOE PRACTICAL TEAM MEMBERS (fill this according to your DOE practical) : 1. Katrina (Thor) 2. Anwar (Iron Man) 3. Kieran (Black Widow) 4. Jun Lin (Hulk)   Data collected for FULL factorial design using CATAPULT A Data collected for FRACTIONAL factorial design using CATAPULT B Since I chose Iron Man, I will use Run #2 from FRACTIONAL factorial and Run #2 from FULL factorial. The QUESTION The catapult (the ones that were used in the DOE practical) manufacturer needs to determine the consistency of the products they have manufactured. Therefore they want to determine whether CATAPULT A produces the same flying distance of projectile as that of CATAPULT B. Scope of the test   The human factor is assumed to be negligible. Therefore different user will not have any effect on the flying distance of projectile.   Flying distance for catapult A and catapult B is collected using the factors below: Arm length = 34cm Start angle = 0 degree Stop angle
Post a Comment
Read more

Design of Experiments (DOE)

Image
  Week 12 & 13 (Tutorial)   For the tutorial sessions in week 12 and week 13, we were introduced to the concept of Design of Experiments (DOE). DOE is a statistics-based approach to designing experiments. It is a methodology to obtain knowledge of a complex, multi-variable process with as little trial runs as possible. It can be considered an optimisation of the experimental procedure itself. DOE is basically the backbone of any product design as well as any efforts to improve processes or products. Fundamentals of DOE          Response Variable (Dependent Variable) Outcome that is measured for given experiment              Factor (Independent Variable) A factor is a variable that is deliberately varied to see its effect on the response variable.            Level A level of a factor is the specific condition of the factor for which we wish to measure            Treatment A treatment is a specific combination of factor levels   Case Studies   For this
Post a Comment
Read more