This project is a part of the analysis which aims to find solutions to the kinematics problem that exists in the movement of the robot arm. In order to control the robot manipulator as desired, so it is important to consider kinematics models in the design of control algorithms. Which in this report presents a mathematical model and kinematics parameter for the robot kinematics. The solution of the forward kinematics based on the matrix transformation method are given and the results are obtained using Matlab software.
A product that will be mass produced requires an initial prototype so that it can assess whether a product design meets the desired criteria and is ready to be mass produced. For the purposes of making the initial prototyping, one alternative is to use 3D printing. Prototyping is an early example of a concept as part of the product development process. Rapid Prototyping allows the visualization of a 3D (three-dimension) image into an original three-dimensional object that has a volume. In addition, rapid prototyping products can also be used to test certain parts. In the design process the 2017 Solidworks software and manufacturing process are used anet type 3D printer. In the manufacturing process many 3D Printer parameters must be regulated and very influential on the manufacturing results to be obtained, including the 3D printer parameter settings in the slicing process. This is a process that is very influential on the results, where the process of slicing the material temperature, printing speed, wall thickness, layer thickness and support must be set properly. In the future it is expected that research on 3D printing manufacturing results with the same printer parameters for the design results of some CAD software.
Electrical Rikshaw forecasting is usually a univariate time series forecasting problem. The recent increase in load variance of electric rickshaw has lead to large available datasets. In this case, we use the machine learning approach based on Long Short Term Memory (LSTM) and Support Vector Machine (SVM). The accurate energy consumption of electric Rickshaw forecasting is depended to train and test real dataset. The time series of electric Rickshaw observed in Mechanical Labs of Universitas HKBP Nomensen, Medan, Indonesia. The main aim of this paper to generate the observation of energy consumption from the electric rickshaw and look for accuracy of electrical load in the substation.
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