Architecture for machining process and production monitoring based in open computer numerical control

This paper proposes an architecture for machining process and production monitoring to be applied in machine tools with open Computer numerical control (CNC). A brief description of the advantages of using open CNC for machining process and production monitoring is presented with an emphasis on the CNC architecture using a personal computer (PC)-based human-machine interface. The proposed architecture uses the CNC data and sensors to gather information about the machining process and production. It allows the development of different levels of monitoring systems with mininium investment, minimum need for sensor installation, and low intrusiveness to the process. Successful examples of the utilization of this architecture in a laboratory environment are briefly described. As a Conclusion, it is shown that a wide range of monitoring solutions can be implemented in production processes using the proposed architecture.

Analysis and Optimization of Machining Process Using Evolutionary Algorithms

To ensure quality of machined products at minimum machining costs and maximum machining effectiveness, it is very important to select optimum parameters when metal cutting machine tools are employed. Traditionally, the experience of the operator plays a major role in the selection of optimum metal cutting conditions. However, attaining optimum values each time by even a skilled operator is difficult. The non-linear nature of the machining process has compelled engineers to search for more effective methods to attain optimization. The design objective preceding most engineering design activities is simply to minimize the cost of production or to maximize the production efficiency. The main aim of research work reported here is to build robust optimization algorithms by exploiting ideas that nature has to offer from its backyard and using it to solve real world optimization problems in manufacturing processes.In this thesis, after conducting an exhaustive literature review, several optimization techniques used in various manufacturing processes have been identified. The selection of optimal cutting parameters, like depth of cut, feed and speed is a very important issue for every machining process. Experiments have been designed using Taguchi technique and dry turning of SS420 has been performed on Kirlosker turn master 35 lathe. Analysis using S/N and ANOVA were performed to find the optimum level and percentage of contribution of each parameter. By using S/N analysis the optimum machining parameters from the experimentation is obtained.Optimization algorithms begin with one or more design solutions supplied by the user and then iteratively check new design solutions, relative search spaces in order to achieve the true optimum solution. A mathematical model has been developed using response surface analysis for surface roughness and the model was validated using published results from literature.Methodologies in optimization such as Simulated annealing (SA), Particle Swarm Optimization (PSO), Conventional Genetic Algorithm (CGA) and Improved Genetic Algorithm (IGA) are applied to optimize machining parameters while dry turning of SS420 material. All the above algorithms were tested for their efficiency, robustness and accuracy and observe how they often outperform conventional optimization method applied to difficult real world problems. The SA, PSO, CGA and IGA codes were developed using MATLAB. For each evolutionary algorithmic method, optimum cutting conditions are provided to achieve better surface finish.The computational results using SA clearly demonstrated that the proposed solution procedure is quite capable in solving such complicated problems effectively and efficiently. Particle Swarm Optimization (PSO) is a relatively recent heuristic search method whose mechanics are inspired by the swarming or collaborative behavior of biological populations. From the results it has been observed that PSO provides better results and also more computationally efficient.Based on the results obtained using CGA and IGA for the optimization of machining process, the proposed IGA provides better results than the conventional GA. The improved genetic algorithm incorporating a stochastic crossover technique and an artificial initial population scheme is developed to provide a faster search mechanism. Finally, a comparison among these algorithms were made for the specific example of dry turning of SS 420 material and arriving at optimum machining parameters of feed, cutting speed, depth of cut and tool nose radius for minimum surface roughness as the criterion. To summarize, the research work fills in conspicuous gaps between research prototypes and industry requirements, by simulating evolutionary procedures seen in nature that optimize its own systems.

Properties advanced of the silicon nitride based ceramics and recent performance on automotive parts manufacture by machining process: Advanced Ceramics, demand Forecast

Automotive parts manufacture by machining process using silicon nitride-based ceramic tool development in Brazil already is a reality. Si 3N4-based ceramic cutting tools offer a high productivity due to their excellent hot hardness, which allows high cutting speeds. Under such conditions the cutting tool must be resistant to a combination of mechanical, thermal and chemical attacks. Silicon nitride based ceramic materials constitute a mature technology with a very broad base of current and potential applications. The best opportunities for Si3N 4-based ceramics include ballistic armor, composite automotive brakes, diesel particulate filters, joint replacement products and others. The goal of this work was to show latter advance in silicon nitride manufacture and its recent evolution on machining process of gray cast iron, compacted graphite iron and Ti-6Al-4V. Materials characterization and machining tests were analyzed by X-Ray Diffraction, Scanning Electron Microscopy, Vickers hardness and toughness fracture and technical norm. In recent works the authors has been proved to advance in microstructural, mechanical and physic properties control. These facts prove that silicon nitride-based ceramic has enough resistance to withstand the impacts inherent to the machining of gray cast iron (CI), compacted graphite iron (CGI) and Ti-6Al-4V (6-4). Copyright © 2008 SAE International.

An inverse method to estimate the moving heat source in machining process

The present work propounds an inverse method to estimate the heat sources in the transient two-dimensional heat conduction problem in a rectangular domain with convective bounders. The non homogeneous partial differential equation (PDE) is solved using the Integral Transform Method. The test function for the heat generation term is obtained by the chip geometry and thermomechanical cutting. Then the heat generation term is estimated by the conjugated gradient method (CGM) with adjoint problem for parameter estimation. The experimental trials were organized to perform six different conditions to provide heat sources of different intensities. This method was compared with others in the literature and advantages are discussed. (C) 2012 Elsevier Ltd. All rights reserved.

Contribution to dynamic characteristics of the cutting temperature in the drilling process considering one dimension heat flow

The machining of hardened steels has always been a great challenge in metal cutting, particularly for drilling operations. Generally, drilling is the machining process that is most difficult to cool due to the tool`s geometry. The aim of this work is to determine the heat flux and the coefficient of convection in drilling using the inverse heat conduction method. Temperature was assessed during the drilling of hardened AISI H13 steel using the embedded thermocouple technique. Dry machining and two cooling/lubrication systems were used, and thermocouples were fixed at distances very close to the hole`s wall. Tests were replicated for each condition, and were carried out with new and worn drills. An analytical heat conduction model was used to calculate the temperature at tool-workpiece interface and to define the heat flux and the coefficient of convection. In all tests using new and worn out drills, the lowest temperatures and decrease of heat flux were observed using the flooded system, followed by the MQL, considering the dry condition as reference. The decrease of temperature was directly proportional to the amount of lubricant applied and was significant in the MQL system when compared to dry cutting. (C) 2011 Elsevier Ltd. All rights reserved.

Optimal location of the workpiece in a PKM-based machining robotic cell

Most machining tasks require high accuracy and are carried out by dedicated machine-tools. On the other hand, traditional robots are flexible and easy to program, but they are rather inaccurate for certain tasks. Parallel kinematic robots could combine the accuracy and flexibility that are usually needed in machining operations. Achieving this goal requires proper design of the parallel robot. In this chapter, a multi-objective particle swarm optimization algorithm is used to optimize the structure of a parallel robot according to specific criteria. Afterwards, for a chosen optimal structure, the best location of the workpiece with respect to the robot, in a machining robotic cell, is analyzed based on the power consumed by the manipulator during the machining process.

Moisture content and its influence on the roughness and noise emission during wood machining

Numerous factors influencing the surface quality of wood after machining, among them we highlight the machining parameters and the properties of the wood. In the analysis of the influence of these factors on machining and in determining the quality measurement systems are used to obtain surface characteristics, these systems are divided into methods of contact and non-contact. The method for mechanical contact performed with the aid of the surface roughness tester is the most valued in the measurement of roughness of wood, however, aiming at a greater agility in these measurements, there is a need to seek alternatives for evaluation of surface quality, and one of these options is to use the forms of indirect measurements of this quality, as for example, the use of noise emission during the machining process. With this, the aim was to analyze the influence of the moisture content of the wood, at different levels, on surface quality of the species Pinus elliottii, determined by the method of mechanical probing move and relate this roughness with the sound emission issued for each class of humidity, during machining. The planning of experiments and statistical analyses were performed with the help of Taguchi method. The specimens were conditioned in greenhouses climatizadoras automatics for obtaining three classes of humidity. Machining tests of wooden pieces were performed on a machining center specific for this type of material. The roughness values were measured by a roughness verifier and the noise emission values were measured by for a measurer sound pressure level. Statistically significant differences were observed, the significance level of 10 %, on roughness and noise emission between the three levels of moisture. It was observed that with the increase in the moisture content occurred an increase of roughness and a reduction in noise emission. Monitoring of surface quality through noise level is an interesting alternative to the method of mechanical contact.

INVESTIGATION INTO CURRENT EFFICIENCY FOR PULSE ELECTROCHEMICAL MACHINING OF NICKEL ALLOY

INVESTIGATION INTO CURRENT EFFICIENCY FOR PULSE ELECTROCHEMICAL MACHINING OF NICKEL ALLOY Yu Zhang, M.S. University of Nebraska, 2010 Adviser: Kamlakar P. Rajurkar Electrochemical machining (ECM) is a nontraditional manufacturing process that can machine difficult-to-cut materials. In ECM, material is removed by controlled electrochemical dissolution of an anodic workpiece in an electrochemical cell. ECM has extensive applications in automotive, petroleum, aerospace, textile, medical, and electronics industries. Improving current efficiency is a challenging task for any electro-physical or electrochemical machining processes. The current efficiency is defined as the ratio of the observed amount of metal dissolved to the theoretical amount predicted from Faraday’s law, for the same specified conditions of electrochemical equivalent, current, etc [1]. In macro ECM, electrolyte conductivity greatly influences the current efficiency of the process. Since there is a certain limit to enhance the conductivity of the electrolyte, a process innovation is needed for further improvement in current efficiency in ECM. Pulse electrochemical machining (PECM) is one such approach in which the electrolyte conductivity is improved by electrolyte flushing in pulse off-time. The aim of this research is to study the influence of major factors on current efficiency in a pulse electrochemical machining process in macro scale and to develop a linear regression model for predicting current efficiency of the process. An in-house designed electrochemical cell was used for machining nickel alloy (ASTM B435) by PECM. The effects of current density, type of electrolyte, and electrolyte flow rate, on current efficiency under different experimental conditions were studied. Results indicated that current efficiency is dependent on electrolyte, electrolyte flow rate, and current density. Linear regression models of current efficiency were compared with twenty new data points graphically and quantitatively. Models developed were close enough to the actual results to be reliable. In addition, an attempt has been made in this work to consider those factors in PECM that have not been investigated in earlier works. This was done by simulating the process by using COMSOL software. However, it was found that the results from this attempt were not substantially different from the earlier reported studies.

Study of Micro Rotary Ultrasonic Machining

Product miniaturization for applications in fields such as biotechnology, medical devices, aerospace, optics and communications has made the advancement of micromachining techniques essential. Machining of hard and brittle materials such as ceramics, glass and silicon is a formidable task. Rotary ultrasonic machining (RUM) is capable of machining these materials. RUM is a hybrid machining process which combines the mechanism of material removal of conventional grinding and ultrasonic machining. Downscaling of RUM for micro scale machining is essential to generate miniature features or parts from hard and brittle materials. The goal of this thesis is to conduct a feasibility study and to develop a knowledge base for micro rotary ultrasonic machining (MRUM). Positive outcome of the feasibility study led to a comprehensive investigation on the effect of process parameters. The effect of spindle speed, grit size, vibration amplitude, tool geometry, static load and coolant on the material removal rate (MRR) of MRUM was studied. In general, MRR was found to increase with increase in spindle speed, vibration amplitude and static load. MRR was also noted to depend upon the abrasive grit size and tool geometry. The behavior of the cutting forces was modeled using time series analysis. Being a vibration assisted machining process, heat generation in MRUM is low which is essential for bone machining. Capability of MRUM process for machining bone tissue was investigated. Finally, to estimate the MRR a predictive model was proposed. The experimental and the theoretical results exhibited a matching trend.

Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process

Tool wear detection is a key issue for tool condition monitoring. The maximization of useful tool life is frequently related with the optimization of machining processes. This paper presents two model-based approaches for tool wear monitoring on the basis of neuro-fuzzy techniques. The use of a neuro-fuzzy hybridization to design a tool wear monitoring system is aiming at exploiting the synergy of neural networks and fuzzy logic, by combining human reasoning with learning and connectionist structure. The turning process that is a well-known machining process is selected for this case study. A four-input (i.e., time, cutting forces, vibrations and acoustic emissions signals) single-output (tool wear rate) model is designed and implemented on the basis of three neuro-fuzzy approaches (inductive, transductive and evolving neuro-fuzzy systems). The tool wear model is then used for monitoring the turning process. The comparative study demonstrates that the transductive neuro-fuzzy model provides better error-based performance indices for detecting tool wear than the inductive neuro-fuzzy model and than the evolving neuro-fuzzy model.

A study of high-speed milling characteristics of nitinol

High-speed milling (HSM) has many advantages over conventional machining. Among these advantages, the lower cutting force associated with the machining process is of particular significance for Nitinol alloys because their machined surfaces show less strain hardening. In this article, a systematic study has been carried out to investigate the machining characteristics of a Ni50.6Ti49.4 alloy in HSM. The effects of cutting speed, feed rate, and depth of cut on machined surface characteristics and tool wear are studied. It is found that an increase in cutting speed has resulted in a better surface finish and less work hardening. This is attributed to the reduction of chip cross-sectional area or chip thickness, which thus leads to a lower cutting force or load.

Drilling of fibre reinforced plastic laminates

The use of fibre reinforced plastics – FRP’s – in structures is under a considerable increase. Advantages of their use are related with their low weight, high strength and stiffness. The improvement of the dynamic characteristics has been profitable for aeronautics, automobile, railway, naval and sporting goods industries. Drilling is a widely used machining technique as it is needed to assemble parts in a structure. This is a unique machining process, characterized by the existence of two different mechanisms: extrusion by the drill chisel edge and cutting by the rotating cutting lips. Drilling raises particular problems that can reduce mechanical and fatigue strength of the parts. In this work, quasi-isotropic hybrid laminates with 25% of carbon fibre reinforced plies and 4 mm thickness are produced, tested and drilled. Three different drill geometries are compared. Results considered are the interlaminar fracture toughness in Mode I – GIc –, thrust force during drilling and delamination extent after drilling. A bearing test is performed to evaluate tool influence on the load carrying capacity of the plate. Results consider the influence of drill geometry on delamination. A correlation linking plate damage to bearing test results is presented.

Estudo comparativo do comportamento de diferentes ferramentas na fresagem de aços duplex

A maquinagem por arranque de apara é, na actualidade, um dos processos de fabrico mais utilizados e de maior relevo no panorama da indústria metalomecânica mundial. Para além da forte evolução que se tem registado ao longo das últimas décadas nos equipamentos ligados à maquinagem, também as ferramentas têm visto o seu desempenho fortemente melhorado, graças essencialmente ao desenvolvimento de revestimentos finos, mono e multicamada, que têm proporcionado o conjunto de propriedades mais indicado a cada situação. Por outro lado, os aços inoxidáveis duplex têm registado um forte incremento na sua aplicação, a qual requer, em muitos casos, o uso da maquinagem para a obtenção das formas necessárias. Tendo em consideração estes dois factores, o presente trabalho visa, essencialmente avaliar qual a ferramenta mais adequada para trabalhar este tipo de ligas, em função do tipo de maquinagem e condições de corte. Para tal, foram utilizadas diferentes ferramentas dotadas da mesma geometria, e seleccionados parâmetros que constituíssem um denominador comum entre os valores indicados pelos diferentes fabricantes. Foram consideradas apenas condições de maquinagem com utilização de fluido de corte e realizados percursos de corte previamente determinados na fresagem, utilizando fresas de topo em condições de maquinagem de alta velocidade. A análise comparativa recaiu sobre a qualidade da superfície gerada por maquinagem, avaliada através de perfilometria, e o desgaste registado por cada uma das ferramentas utilizadas.

Estudo da delaminação em compósitos

As excelentes propriedades mecânicas, associadas ao seu baixo peso, fazem com que os materiais compósitos sejam atualmente dos mais interessantes da nossa sociedade tecnológica. A crescente utilização destes materiais e a excelência dos resultados daí provenientes faz com que estes materiais sejam utilizados em estruturas complexas de responsabilidade, pelo que a sua maquinagem se torna necessária de forma a possibilitar a ligação entre peças. O processo de furação é o mais frequente. O processo de maquinagem de compósitos terá como base os métodos convencionais utilizados nos materiais metálicos. O processo deverá, no entanto, ser convenientemente adaptado, quer a nível de parâmetros, quer a nível de ferramentas a utilizar. As características dos materiais compósitos são bastante particulares pelo que, quando são sujeitos a maquinagem poderão apresentar defeitos tais como delaminação, fissuras intralaminares, arrancamento de fibras ou dano por sobreaquecimento. Para a detecção destes danos, por vezes a inspeção visual não é suficiente, sendo necessário recorrer a processos específicos de análise de danos. Existem já, alguns estudos, cujo âmbito foi a obtenção de furos de qualidade em compósitos, com minimização do dano, não se podendo comparar ainda com a informação existente, no que se refere à maquinagem de materiais metálicos ou ligas metálicas. Desta forma, existe ainda um longo caminho a percorrer, de forma a que o grau de confiança na utilização destes materiais se aproxime aos materiais metálicos. Este trabalho experimental desenvolvido nesta tese assentou essencialmente na furação de placas laminadas e posterior análise dos danos provocados por esta operação. Foi dada especial atenção à medição da delaminação causada pela furação e à resistência mecânica do material após ser maquinado. Os materiais utilizados, para desenvolver este trabalho experimental, foram placas compósitas de carbono/epóxido com duas orientações de fibras diferentes: unidireccionais e em “cross-ply”. Não se conseguiu muita informação, junto do fornecedor, das suas características pelo que se levaram a cabo ensaios que permitiram determinar o seu módulo de elasticidade. Relativamente á sua resistência â tração, como já foi referido, a grande resistência oferecida pelo material, associada às limitações da máquina de ensaios não permitiu chegar a valores conclusivos. Foram usadas três geometrias de ferramenta diferentes: helicoidal, Brad e Step. Os materiais utilizados nas ferramentas, foram o aço rápido (HSS) e o carboneto de tungsténio para as brocas helicoidais de 118º de ângulo de ponta e apenas o carboneto de tungsténio para as brocas Brad e Step. As ferramentas em diamante não foram consideradas neste trabalho, pois, embora sejam reconhecidas as suas boas características para a maquinagem de compósitos, o seu elevado custo não justifica a sua escolha, pelo menos num trabalho académico, como é o caso. As vantagens e desvantagens de cada geometria ou material utilizado foram avaliadas, tanto no que diz respeito à delaminação como á resistência mecânica dos provetes ensaiados. Para a determinação dos valores de delaminação, foi usada a técnica de Raio X. Algum conhecimento já existente relativamente a este processo permitiu definir alguns parâmetros (por exemplo: tempo de exposição das placas ao liquido contrastante), que tornaram acessível o procedimento de obtenção de imagens das placas furadas. Importando estas imagens para um software de desenho (no caso – AutoCad), foi possível medir as áreas delaminadas e chegar a valores para o fator de delaminação de cada furo efetuado. Terminado este processo, todas as placas foram sujeitas a ensaios de esmagamento, de forma a avaliar a forma como os parâmetros de maquinagem afectaram a resistência mecânica do material. De forma resumida, são objetivos deste trabalho: - Caracterizar as condições de corte em materiais compósitos, mais especificamente em fibras de carbono reforçado com matriz epóxida (PRFC); - Caracterização dos danos típicos provocados pela furação destes materiais; - Desenvolvimento de análise não destrutiva (RX) para avaliação dos danos provocados pela furação; - Conhecer modelos existentes com base na mecânica da fratura linear elástica (LEFM); - Definição de conjunto de parâmetros ideais de maquinagem com o fim de minimizar os danos resultantes da mesma, tendo em conta os resultados provenientes dos ensaios de força, da análise não destrutiva e da comparação com modelos de danos existentes e conhecidos.

Optimização do Processo de Maquinagem de Componentes para a Indústria Automóvel

A indústria automóvel exige, em geral, elevados índices de produtividade e qualidade. Para corresponder às exigências deste tipo de indústria, são requeridos métodos avançados de produção, tentando eliminar ao máximo operações que não gerem valor acrescentado e que possam introduzir problemas no processo de garantia da qualidade. A maquinagem por arranque de apara é um processo utilizado de forma intensiva na indústria automóvel. No entanto, enquanto em componentes críticos como o motor, os processos estão já altamente otimizados, o mesmo não se verifica na maior parte dos sistemas periféricos, normalmente realizados por empresas mais pequenas que gravitam em torno dos principais fornecedores da cadeia de produção de automóveis. Os sistemas responsáveis pela movimentação dos limpa pára-brisas e elevação dos vidros, entre outros, encontram-se neste grupo. Este trabalho visa essencialmente otimizar o processo de maquinagem de componentes periféricos de automóveis, sujeitos a diferentes operações em vários planos. No entanto, e tal como em muitas outras situações relacionadas com a variedade de versões existentes na indústria automóvel relativamente a cada sistema, pretende-se que o processo seja suficientemente versátil para poder ser aplicado em vários componentes de uma mesma família de produtos, necessitando de um número de ajustes o mais baixo possível. O estudo passou por uma análise profunda das similaridades geométricas dos diferentes componentes, análise dos planos de maquinagem de cada componente, operações envolvidas, elencagem da necessidade específica de ferramentas, elaboração de gabaritos de fabrico e apresentação da solução final, a qual passa pela introdução de um 4º eixo e do seu controlo através do sistema CNC já existente, assim como pela elaboração de novos programas.