LOGIC CIRCUIT DESIGN

METHODOLOGY 

This methodology thus outlines the research, design, implementation, and evaluation processes for better understanding of the operations and efficacy of the integrated colour sorting and CNC machining system. The methodology ensures a systematic approach to achieving reliable results and conclusions. Below are the detailed steps used in developing and analysing the system .The foundation of this methodology lies in comprehensive research and data gathering. This phase involves reviewing existing literature, exploring advanced technologies like 3D simulation, AI algorithms, high-resolution sensors, and CNC machining, and understanding their roles in industrial automation.

Let us refer to the operation of machines as starting from the automation of tasks via a structured sequence of six basic steps. In this process, the production activities have greater efficiency, precision, and less human interference would make the operations easier. The basic procedure starts with raw material handling, and then on various machining and quality checks. Let us examine each step one by one .The first step includes feeding the raw material directly on a conveyor belt. The conveyor belt is a very important part of the material handling process. This ensures the smooth transition of raw materials across various stages of production. Figure 1.0 depicts the marking of raw material portions onto the conveyor. The conveyor transports materials for a length of about 6 m.

Controlled and facilitated movement has ensured good alignment and positioning of raw material for the next operations. At this stage, the practically most important task is to prepare the material for the subsequent drilling and milling operations, which are done in separate C.N.C. (Computer Numerical Control) machining centre.

Operations have been clearly depicted concerned with the flowchart . The flowchart gives an easy visual representation of step-by-step completion of work that helps ensure that each of those work items is performed in the current order. The process of automation gets more input through the factory I/O software. The environment of the software more clearly helps the differentiation of raw materials through distinct blue and green colour. The colour allocation is not randomly done; rather it is determined according to what kinds of operations a specific raw material has to undergo. For instance, blue would indicate raw materials requiring drilling and green would indicate raw materials meant for milling. The colour-coding system makes identification easier and minimizes the chances of errors.

The use of a vision sensor for colour identification in the factory I/O software provides an easy debugging method for the work being undertaken. A sight sensor distinguishes raw materials moving along the conveyor by the colour-the blue ones are here drilled. This system also has a pusher mechanism, which redirects blue materials to the right side of the conveyor.

In realistic situations in construction, materials of varying colour-based identification are more often distinguished on size than colour. However, in this manufacturing process, colours are deployed in the factory I/O software for clarity and ease of use in simulative practices.

At this stage, the raw materials are taken to the CNC machine by a robotic arm. This process is facilitated by the robotic arm, guaranteeing precision and effectiveness in performing the transfer. The robotic arm effectively picks up the materials and places them into the CNC machine's working area, where the required operations take place. The machine is programmed to execute both drilling and milling processes; however, these operations have been separated into different jobs for reasons associated with accuracy and quality. This phase is shown in detail in Figure 3, which depicts the placement of the raw materials in the CNC machine as well as the actual machining tasks performed.

One time a product has been done with drilling and milling operations; it will be removed from the CNC machine. This again will be done by the robotic arm, which will carefully remove the processed material from the CNC and place it back onto the conveyor. The conveyor will then convey the finished item to further processing or to the collection point. Automation takes much of the manual labour out of the process, while damage to the finished product is also avoided with constant material handling throughout the automatic CTMC system.

A control I/O system controls and regulates the entire operation. This system uses Boolean logic to sequence various steps of the process. Boolean logic is an integral part of digital systems, which provides basic guiding principles for developing straightforward, versatile, and effective decision-making rules. Figure 4 illustrates the use of Boolean logic in the control system. Every step: identifying the raw material, to placing the finished product, is controlled with a list of sequential logical conditions and actions. For example, when the vision sensor detects a blue colour, material is pushed to the right

FLOWCHART

CONTROL I/O CODE 

MODEL DESIGN

MODAL SIMULATION