3,329 research outputs found
A surface defect detection method of steel plate based on YOLOV3
At present, the steel plate surface defect detection technology based on machine vision and convolutional neural network (CNN) has achieved good results. However, these models are mostly two-stage methods, extracting features first and then classifying them, which is slow and inaccurate. Therefore, this paper proposes a single-stage surface defect detection method of steel plate based on yolov3, which can classify defects, determine the location of defects, and greatly improve the detection speed. It is of great significance to realize the automation of cold rolling production line. The experiment shows that the detection speed of this model reaches 62 fps and the accuracy reaches 73 %, which has a good prospect in industry
A surface defect detection method of steel plate based on YOLOV3
At present, the steel plate surface defect detection technology based on machine vision and convolutional neural network (CNN) has achieved good results. However, these models are mostly two-stage methods, extracting features first and then classifying them, which is slow and inaccurate. Therefore, this paper proposes a single-stage surface defect detection method of steel plate based on yolov3, which can classify defects, determine the location of defects, and greatly improve the detection speed. It is of great significance to realize the automation of cold rolling production line. The experiment shows that the detection speed of this model reaches 62 fps and the accuracy reaches 73 %, which has a good prospect in industry
Hot Strip Mill Transportation in Rourkela Steel Plant
This paper discussed possible adaptation of electronic transport means in Hot Strip Mill for improving finished product quality. The present system operating in Rourkela steel plant is discussed. Additional electronic means are proposed
Eco-efficient process based on conventional machining as an alternative technology to chemical milling of aeronautical metal skin panels
El fresado químico es un proceso diseñado para la reducción de peso de pieles metálicas que, a
pesar de los problemas medioambientales asociados, se utiliza en la industria aeronáutica desde los
años 50. Entre sus ventajas figuran el cumplimiento de las estrictas tolerancias de diseño de piezas
aeroespaciales y que pese a ser un proceso de mecanizado, no induce tensiones residuales. Sin
embargo, el fresado químico es una tecnología contaminante y costosa que tiende a ser sustituida.
Gracias a los avances realizados en el mecanizado, la tecnología de fresado convencional permite
alcanzar las tolerancias requeridas siempre y cuando se consigan evitar las vibraciones y la flexión
de la pieza, ambas relacionadas con los parámetros del proceso y con los sistemas de utillaje
empleados.
Esta tesis analiza las causas de la inestabilidad del corte y la deformación de las piezas a través
de una revisión bibliográfica que cubre los modelos analíticos, las técnicas computacionales y las
soluciones industriales en estudio actualmente. En ella, se aprecia cómo los modelos analíticos y las
soluciones computacionales y de simulación se centran principalmente en la predicción off-line de
vibraciones y de posibles flexiones de la pieza. Sin embargo, un enfoque más industrial ha llevado al
diseño de sistemas de fijación, utillajes, amortiguadores basados en actuadores, sistemas de rigidez
y controles adaptativos apoyados en simulaciones o en la selección estadística de parámetros.
Además se han desarrollado distintas soluciones CAM basadas en la aplicación de gemelos virtuales.
En la revisión bibliográfica se han encontrado pocos documentos relativos a pieles y suelos
delgados por lo que se ha estudiado experimentalmente el efecto de los parámetros de corte en su
mecanizado. Este conjunto de experimentos ha demostrado que, pese a usar un sistema que
aseguraba la rigidez de la pieza, las pieles se comportaban de forma diferente a un sólido rígido en
términos de fuerzas de mecanizado cuando se utilizaban velocidades de corte cercanas a la alta
velocidad. También se ha verificado que todas las muestras mecanizadas entraban dentro de
tolerancia en cuanto a la rugosidad de la pieza. Paralelamente, se ha comprobado que la correcta
selección de parámetros de mecanizado puede reducir las fuerzas de corte y las tolerancias del
proceso hasta un 20% y un 40%, respectivamente. Estos datos pueden tener aplicación industrial en
la simplificación de los sistemas de amarre o en el incremento de la eficiencia del proceso.
Este proceso también puede mejorarse incrementando la vida de la herramienta al utilizar
fluidos de corte. Una correcta lubricación puede reducir la temperatura del proceso y las tensiones
residuales inducidas a la pieza. Con este objetivo, se han desarrollado diferentes lubricantes, basados
en el uso de líquidos iónicos (IL) y se han comparado con el comportamiento tribológico del par de
contacto en seco y con una taladrina comercial. Los resultados obtenidos utilizando 1 wt% de los
líquidos iónicos en un tribómetro tipo pin-on-disk demuestran que el IL no halogenado reduce
significativamente el desgaste y la fricción entre el aluminio, material a mecanizar, y el carburo de
tungsteno, material de la herramienta, eliminando casi toda la adhesión del aluminio sobre el pin, lo
que puede incrementar considerablemente la vida de la herramienta.Chemical milling is a process designed to reduce the weight of metals skin panels. This process
has been used since 1950s in the aerospace industry despite its environmental concern. Among its
advantages, chemical milling does not induce residual stress and parts meet the required tolerances.
However, this process is a pollutant and costly technology. Thanks to the last advances in
conventional milling, machining processes can achieve similar quality results meanwhile vibration
and part deflection are avoided. Both problems are usually related to the cutting parameters and the
workholding.
This thesis analyses the causes of the cutting instability and part deformation through a literature
review that covers analytical models, computational techniques and industrial solutions. Analytics
and computational solutions are mainly focused on chatter and deflection prediction and industrial
approaches are focused on the design of workholdings, fixtures, damping actuators, stiffening
devices, adaptive control systems based on simulations and the statistical parameters selection, and
CAM solutions combined with the use of virtual twins applications.
In this literature review, few research works about thin-plates and thin-floors is found so the
effect of the cutting parameters is also studied experimentally. These experiments confirm that even
using rigid workholdings, the behavior of the part is different to a rigid body at high speed machining.
On the one hand, roughness values meet the required tolerances under every set of the tested
parameters. On the other hand, a proper parameter selection reduces the cutting forces and process
tolerances by up to 20% and 40%, respectively. This fact can be industrially used to simplify
workholding and increase the machine efficiency.
Another way to improve the process efficiency is to increase tool life by using cutting fluids.
Their use can also decrease the temperature of the process and the induced stresses. For this purpose,
different water-based lubricants containing three types of Ionic Liquids (IL) are compared to dry and
commercial cutting fluid conditions by studying their tribological behavior. Pin on disk tests prove
that just 1wt% of one of the halogen-free ILs significantly reduces wear and friction between both
materials, aluminum and tungsten carbide. In fact, no wear scar is noticed on the ball when one of
the ILs is used, which, therefore, could considerably increase tool life
Towards A Computational Intelligence Framework in Steel Product Quality and Cost Control
Steel is a fundamental raw material for all industries. It can be widely used in vari-ous fields, including construction, bridges, ships, containers, medical devices and cars. However, the production process of iron and steel is very perplexing, which consists of four processes: ironmaking, steelmaking, continuous casting and rolling. It is also extremely complicated to control the quality of steel during the full manufacturing pro-cess. Therefore, the quality control of steel is considered as a huge challenge for the whole steel industry. This thesis studies the quality control, taking the case of Nanjing Iron and Steel Group, and then provides new approaches for quality analysis, manage-ment and control of the industry.
At present, Nanjing Iron and Steel Group has established a quality management and control system, which oversees many systems involved in the steel manufacturing. It poses a high statistical requirement for business professionals, resulting in a limited use of the system. A lot of data of quality has been collected in each system. At present, all systems mainly pay attention to the processing and analysis of the data after the manufacturing process, and the quality problems of the products are mainly tested by sampling-experimental method. This method cannot detect product quality or predict in advance the hidden quality issues in a timely manner. In the quality control system, the responsibilities and functions of different information systems involved are intricate. Each information system is merely responsible for storing the data of its corresponding functions. Hence, the data in each information system is relatively isolated, forming a data island. The iron and steel production process belongs to the process industry. The data in multiple information systems can be combined to analyze and predict the quality of products in depth and provide an early warning alert. Therefore, it is necessary to introduce new product quality control methods in the steel industry. With the waves of industry 4.0 and intelligent manufacturing, intelligent technology has also been in-troduced in the field of quality control to improve the competitiveness of the iron and steel enterprises in the industry. Applying intelligent technology can generate accurate quality analysis and optimal prediction results based on the data distributed in the fac-tory and determine the online adjustment of the production process. This not only gives rise to the product quality control, but is also beneficial to in the reduction of product costs. Inspired from this, this paper provide in-depth discussion in three chapters: (1) For scrap steel to be used as raw material, how to use artificial intelligence algorithms to evaluate its quality grade is studied in chapter 3; (2) the probability that the longi-tudinal crack occurs on the surface of continuous casting slab is studied in chapter 4;(3) The prediction of mechanical properties of finished steel plate in chapter 5. All these 3 chapters will serve as the technical support of quality control in iron and steel production
Thermomechanical simulation and process optimization for hot rolling of steel
Hot rolling is a manufacturing process that involves large material deformation, complicated geometries, contact conditions and non-uniform temperature gradients. Steel industries are motivated to prevent hot rolled steel products to be defect free and with desired shape and size. In order to simulate the process accurately, it is essential that the material model for steel accounts for the viscoplasticity and changes in properties that occur in steel at elevated temperatures as grain growth and recrystallization.
The healing of existing voids during hot rolling was investigated using finite element simulations. Voids are highly undesirable as they not only degrade the product quality but also serve to initiate cracks and fissures. During rolling most of the voids are expected to close due to deformation of the rolled material at high temperature. The influence of various rolling parameters on void closure were predicted using simulations.
During multi-pass hot rolling of steel microstructural changes occur due recrystallization and temperature. Elevated temperatures result in grain coarsening, while recrystallization triggers grain refinement. The parameters governing the static recrystallization kinetics were determined using the double hit compression test. Various steel grades were characterized to determine the change in grain size at elevated temperature. The effect of grain size on the flow stress was also found using a set of experiments. These findings helped to create a new plasticity model based on the classical Johnson-Cook model that included the influence of grain size on the flow stress and static softening due to recrystallization --Abstract, page iv
Thin-Wall Machining of Light Alloys: A Review of Models and Industrial Approaches
Thin-wall parts are common in the aeronautical sector. However, their machining presents
serious challenges such as vibrations and part deflections. To deal with these challenges, di erent
approaches have been followed in recent years. This work presents the state of the art of thin-wall
light-alloy machining, analyzing the problems related to each type of thin-wall parts, exposing the
causes of both instability and deformation through analytical models, summarizing the computational
techniques used, and presenting the solutions proposed by di erent authors from an industrial point
of view. Finally, some further research lines are proposed
Thermal behaviour of compressed earth blocks with municipal organic waste incorporation
Mestrado de dupla diplomação com o Centro Federal de Educação Tecnológica Celso Suckow da Fonseca - Cefet/RJConstruction sector is one of the largest consumers of natural resources among human activities.
Over the last years, with the increasingly interest for sustainable practices, the use of earth as a
raw construction material re-emerged as a feasible way to reduce environmental impacts. In
this scenario, compressed earth blocks (CEBs) arose as a construction technique with large
sustainable potential, once they do not require cooking processes on their manufacture and due
to the possibility of incorporation of fibres and wastes. This work aims to evaluate the
incorporation of the organic fraction of municipal waste on CEBs, through its thermal properties
and behaviour when subjected to fire situations. For such, a preliminary characterization of the
CEBs to determine their porosity and bulk density was held. Subsequently, an evaluation of
chemical aspects of the CEBs and its components was performed through thermogravimetric
analyses. Thermal properties of the blocks were also calculated using transient methods.
Finally, a CEBs panel was tested experimentally to evaluate criteria of integrity and insulation,
and numerical simulations were held to provide a better understanding towards this
phenomenon. The obtained results indicate that the incorporation of organic waste does not
affect the capability of CEBs walls to accomplish fire safety criteria. Furthermore, the
incorporated CEBs thermal properties still accomplish the minimums required by the standards
and may also allow to reduce the heat transfer through building envelopes, which emphasize
the sustainable feature of the blocks.A construção civil é um dos setores de maior consumo de recursos naturais entre as atividades
humanas. Nos últimos anos, com o crescente interesse por práticas sustentáveis, o uso de terra
como matéria-prima construtiva ressurgiu como uma maneira viável de reduzir impactos
ambientais. Nesse cenário, os blocos de terra compactados (BTCs) surgiram como uma técnica
de construção com grande potencial sustentável, uma vez que não requerem processos de
cozimento em sua fabricação e devido à possibilidade de incorporação de fibras e resíduos. O
presente trabalho tem como objetivo avaliar a incorporação da fração orgânica de resíduos
urbanos em BTCs, por meio de suas propriedades térmicas e comportamento quando submetido
a situações de incêndio. Para tal, foi realizada uma caracterização preliminar dos BTCs para
determinar sua porosidade e densidade aparente. Posteriormente, foi realizada uma avaliação
dos aspectos químicos dos BTCs e seus componentes por meio de análises termogravimétricas.
As propriedades térmicas dos blocos também foram calculadas usando métodos transientes.
Finalmente, um painel feito em BTCs foi testado experimentalmente para avaliar os critérios
de integridade e isolamento quando submetido a incêncios, e simulações numéricas foram
realizadas para fornecer uma melhor compreensão desse fenômeno. Os resultados obtidos
indicam que a incorporação de resíduos orgânicos não afetam a capacidade das paredes de
BTCs em cumprir os critérios de segurança contra incêndio. Além disso, as propriedades
térmicas dos BTCs com resíduo incorporado cumprem ainda os mínimos exigidos pelas normas
e também podem permitir reduzir a transferência de calor através das envoltórias da construção,
o que enfatiza a característica sustentável dos blocos
Electromagnetic measurements of steel phase transformations
This thesis describes the development of electromagnetic sensors to measure the phase transformation in steel as it cools from the hot austenite phase to colder ferritic based phases. The work initially involved investigating a variety of sensing configurations including ac excited coils, C-core arrangements and the adaptation of commercial eddy current proximity sensors. Finally, two prototype designs were built and tested on a hot strip mill. The first of these, the T-meter was based on a C-shaped permanent magnet with a Gaussmeter measuring the magnetic field at the pole ends. Laboratory tests indicated that it could reliably detect the onset of transformation. However, the sensor was sensitive to both the steel properties and the position of the steel. To overcome this, an eddy current sensor was incorporated into the final measurement head. The instrument gave results which were consistent with material property variations, provided the lift off variations were below 3Hz. The results indicated that for a grade 1916 carbon- manganese steel, the signal variation was reduced from 37% to 2%, and the resulting output was related to the steel property variations. The second of these prototypes was based on a dc electromagnetic E-core, with Hall probes in each of the three poles. 'Cold' calibration tests were used to decouple the steel and the lift-off. The results indicated that there was an error of 3-4% ferrite/mm at high ferrite fractions. At lower fractions the error was higher due to the instrument’s insensitivity to lift-off. The resulting output again showed a relationship with varying steel strip properties. ft was also shown that a finite element model could be calibrated to experimental results for a simple C-core geometry such that the output was sensitive to 0.2% of the range. This is required to simulate the sensor to resolve to 10% ferrite
Book of abstracts of the 14th International Symposium of Croatian Metallurgical Society - SHMD \u272020, Materials and metallurgy
Book of abstracts of the 14th International Symposium of Croatian Metallurgical Society - SHMD \u272020, Materials and metallurgy held in Šibenik, Croatia, June 21-26, 2020. Abstracts are organized in four sections: Materials - section A; Process metallurgy - Section B; Plastic processing - Section C and Metallurgy and related topics - Section D
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