Tian-Syung Lan

The optimal control of material removal rate with fixed tool life and speed limitation

Abstract A material removal control (MRC), model to achieve the optimal cutting rate control of a cutting tool during machining is established in this study, which can direct a project towards reaching maximal profit. This paper not only applies the material removal rate (MRR) into the objective function mathematically, but also implements the calculus of variations to resolve the cutting rate control problem comprehensively. In addition, a dynamic solution for the control of the MRR is proposed and the decision criteria for selecting the optimal solution are recommended. Moreover, the sensitivity analyses for decision variables of the optimal solution are discussed. This study provides an efficient tool for controlling the machining rate for production engineers in present-day manufacturing.

Construction of the Control System of Cleaning Robots with Vision Guidance

The study uses Kinect, modern and depth detectable photography equipment to detect objects on the ground and above the ground. The data collected is used to construct a model on ground level, that is, used lead automatic guiding vehicle. The core of the vehicle uses a PIC18F4520 microchip. Bluetooth wireless communication is adopted for remote connection to a computer, which is used to control the vehicles remotely. Operators send movement command to automatic guiding vehicle through computer. Once the destination point is identified, the vehicle lead is forward. The guiding process will map out a path that directs the vehicle to the destination and void any obstacles. The study is based on existing cleaning robots that are available. Aside from fixed point movement, through data analysis, the system is also capable of identifying objects that are not supposed to appear on the ground, such as aluminum cans. By configuring the destination to aluminum cans, the automatic guiding vehicle will lead to a can and pick it up. Such action is the realization of cleaning function.

Optimal human resource allocation with finite servers and queuing capacity

The optimisation of finite queuing capacity in a fast-food store is researched in this study. This paper not only applies queuing theory with finite servers and finite queue size into the mathematical model, but also introduces the cumulative probability function of customer psychological attitude for leaving into the objective function. In addition, the step-by-step algorithm for optimising the human resource allocation is also provided. Moreover, the computerised tool written in the language of Visual Basic to reach the maximum profit is completely proposed in this paper, and a numerical example is discussed to show all steps for achieving the optimal solution. This study definitely contributes an efficient strategy and a practical tool for management decision makers with profound insight.

Development of a Real-Time Task Editable Service-Oriented Security Robot

Abstract Robots are widely used in modern industrial manufacturing, in households, in entertainment, and in the security sector. Recently, because of the complexity of household-robot missions remotely controlled by the host, the development of a real-time task editable service-oriented security robot that may efficiently execute routine missions by avoiding advance instruction is necessary In this paper, an intelligent and interactive security robot is developed. In order to remotely manipulate the robot’s movements, both the PC-base’s TCP/IP protocol and the Web-base with an active server page (ASP) function via an access point (AP) are adopted. To facilitate targeted functions, interactivity in conjunction with high quality sensors plays an essential role. To avoid colliding with a barrier, an ultrasonic sensor is installed on both sides of the security robot. By using infrared sensors, the electric charge station can be detected. Additionally, electrical devices used in a home equipped with RF receivers can be remotely manipulated by receiving signals transmitted from the RF transmitter of the security robot. Moreover, for security purposes, an infrared sensor installed in the security robot is used to detect a house invasion by an unwanted intruder, causing both the alarm and the web-camera to be triggered simultaneously. Here, in order to deal with all signals, a 8051 microchip connected to the robot’s mother board is used. The 8051 microchip will receive the signals (Web-Cam system, the infrared sensor, the body infrared sensor, and the ultrasonic sensor) and trigger the devices (Web-Cam system’ motor, wheel’s motors, alarm system, and RF-transmitter) Consequently, a prototype security robot has been manufactured and successfully tested in the laboratory

A model of optimal manpower allocation for chiphandling in manufacturing

The optimal workforce assignment for chip handling in computer-based manufacturing has been rebellious and crucial to industrial management. However, through the OMP, Optimal Manpower, model proposed in this paper, this issue becomes realistically and concretely solvable. This study not only meditates the conception of balancing machine productivity and human ability into the objective, but also develops the step-by-step algorithm for optimising the combinatorial problem to accomplish maximum profit. In addition, to extend the applicability of OMP model, the computerised decision tool written in Visual Basic is comprehensively prepared in approaching the optimal solution of manpower allocation efficiently. Moreover, the versatility of OMP model is exemplified through a numerical study. This paper definitely contributes the applicable scheme of manpower allocation for chip handling in manufacturing, and provides the valuable tool to conclusively optimise the profit of a machining project for operations research in todays machining industry with profound insight.

OPTIMUM MRR CONTROL AND PRODUCTION DUE-DATE ASSIGNMENT FOR MULTIPLE MACHINING PROJECTS IN A DETERMINISTIC INTERVAL

ABSTRACT The concentration on the minimum-cost machining control with material removal rate (MRR) grows up in the computer-based machining industry. In this paper, the mathematical modeling with dynamic MRR control to minimize the machining cost and assign the due-dates for multiple machining projects within a given production period is established. The optimum solution as well as the completeness and optimality of the solution are accomplished through Calculus of Variations. Additionally, the decision criteria for selecting the dynamic solution and the sensitivity analyses for key variables in the optimal solution are fully discussed. Moreover, the numerical example from real-world industrial is introduced to demonstrate the advantages of this study. The dynamic MRR control is the goal to optimize machining operations in the CNC machining systems. This study exactly explores the very promising solution to not only dynamically manipulate the MRR in minimizing the machining cost, but also comprehensively determine the due-dates for multiple machining quantities within a deterministic production period for both machine tool manufacturers and operations researchers.

Optimum Material Removal Control with Tool Life Determination for Machining Operation

Minimizing the machining cost of an individual cutting tool has become important for computer-based machining industry. This paper mathematically presents an Optimum Material Removal Control (OMRC ) Model,where the material removal rate ( MRR )i s comprehensively introduced,to accomplish the dynamic machining control and tool life determination of a cutting tool under an expected machining quantity. To resolve the incessant cutting-rate control problem,Calculus of Variations is implemented for the optimum solution. Additionally,the decision criteria for selecting the dynamic solution are suggested and the sensitivity analyses for key variables in the optimal solution are fully discussed. The versatility of this study is furthermore exemplified through a numerical illustration from the real-world industry with VISUAL BASIC. It is shown that the theoretical and simulated results are in good agreement. This study absolutely explores the very promising solution to dynamically organize the MRR in minimizing the machining cost of a cutting tool for the contemporary machining industry.

Multi-Quality Precision CNC Manufacturing Optimization with TRIZ Inventive Game

Abstract To obtain an optimal cutting process in the Computer Numerical Control (CNC), the multiple-quality production optimization decision is proposed by utilizing the tool nose run-off, the feed rate and the cutting depth as the control parameters. Four control factors that affect cutting quality will be examined: surface roughness, tool wear, material removal rate, and the cutting noise. Triz theory used in this study will define improved or depraved factors and then be substituted for the four objective aspects to construct the contradiction matrix table. Using the corresponding 40 inventive rules of Triz in the contradiction matrix table, the best decision in Triz will be found. The Triz single property principle is utilized to check the table to discover the cutting strategy order and to sort the game matrix. The Fahp is adopted to design a questionnaire. With this questionnaire, the weight of each factor and objective will be obtained. The weight of each factor is then used to classify the priority of each objective and factor. The strategy obtained from the Triz will be substituted into the multi-agent decision model of game theory. Consequently, this achieves an Optimized Multiple-quality Production of cutting that provides a standard for the cutting domain.

An experimental approach of optimum material removal rate under fixed tool life

Optimizing the machining profit of an individual cutting tool has become critical to the computer numerical controlled (CNC) machining industry. In this paper, the mathematical modeling and the dynamic solution using calculus of variations to complete the optimal material removal rate (MRR) control of a cutting tool with a fixed tool life are introduced. Additionally, the advantage of this study is also demonstrated through a numerical illustration from the real-world industry with BORLAND C++ BUILDER. It is shown that the theoretical and simulated results are in good agreement. Moreover, the implementation of dynamic MRR control to analyze the numerical case is experimentally performed on the ECOCA PC-3807 CNC lathe. The surface roughness of all machined workpieces is found to not only stabilize as the tool consumed, but also reach the recognized standard for finish turning. With this study, the construction of dynamic MRR optimization for multi-operation and multi-tool CNC programs in achieving the maximum machining profit can be further advanced.

Dynamic machining control and scheduling for multiple production projects in a deterministic period

The dynamic material removal rate (MRR) control is the goal to optimize machining operations in the computer numerical controlled (CNC) machining systems. In this paper, we not only dynamically motivated theMRR into the proposed mathematical model to minimize the machining cost as well as determine the production due-dates of multiple single-tool machining projects in a deterministic production period, but also employed Calculus of Variations to manipulate the machining control task in accomplishing the optimum solution. Additionally, the decision criteria for selecting the dynamic solution and the sensitivity analyses for critical variables in the optimal solution are completely discussed. This study exactly explores the very promising solution to dynamically arrange the MRR in minimizing the machining cost for multiple machining projects in a given production period, and comprehensively schedule the due-dates of multiple single-tool machining quantities for production engineers in todays machining industry with profound insight.