Field of the Invention
This invention relates to IoT enabled, strength enhancement prediction system for cross-rolling processes
Background of the Invention
US9394579B2: The present invention provides steel containing manganese and nickel that is used as a structural material for a cryogenic storage container for liquefied natural gas (LNG) or the like, and a manufacturing method thereof; and more particularly, to steel having good cryogenic temperature toughness and also high strength by adding low-cost Mn instead of relatively expensive Ni at an optimized ratio, refining a microstructure through controlled rolling and cooling, and precipitating retained austenite through tempering, and a manufacturing method of the steel. To achieve the object, the technical feature of the present invention is a method of manufacturing high-strength steel with cryogenic temperature toughness. In the method, a steel slab is heated to a temperature within a range of 1,000 to 1,250° C., wherein the steel slab includes, by weight: 0.01-0.06% of carbon (C), 2.0-8.0% of manganese (Mn), 0.01-6.0% of nickel (Ni), 0.02-0.6% of molybdenum (Mo), 0.03-0.5% of silicon (Si), 0.003-0.05% of aluminum (Al), 0.0015-0.01% of nitrogen (N), 0.02% or less of phosphorous (P), 0.01% or less of sulfur (S), with a remainder of iron (Fe) and other unavoidable impurities. Then, the heated slab is finish-rolled at a temperature of 950° C. or less at a rolling reduction rate of 40% or more. The rolled steel is cooled to a temperature of 400° C. or less at a cooling rate of 2° C./s or more. Thereafter, the steel is tempered for 0.5-4 hours to a temperature within a range of 550 to 650° C. after the cooling.
Research Gap:
In the present work material is first dipped into liquid nitrogen for a certain time duration and then that material is passed through a rollers, at the initial stage ,load is applied to the material through the roller, sensors are attached to machine, to detect the strength of the material at both the ends.
CN107075649B: The present invention relates to a kind of high-strength steel sheets for means of transport such as construction material, automobile, trains, and more particularly, to a kind of high-strength cold rolled steel plate that ductility is excellent, hot-dip galvanized steel sheet and its manufacturing method.
Research Gap:
It provides excellent strength and ductility to the material so that it can be utilized by aircraft industries, automobile industries and Bio-medical industries. Sensors are attached to the system to determine the strength of the material throughout the process.
WO2011117892A2: This invention relates in general to lubricating oils and in particular to a composition of oil suitable for steel rolling. The oil can form a metastable emulsion with water and separates oil, cream or their mixture during rolling application. The oil composition shows good lubrication, load carrying and reduction properties and is useful for steel cold rolling, particularly for thin or thick gauge steel rolling in high speed tandem rolling mills. Several optimum rolling emulsion properties are found to be required for the above lubrication properties.
Research Gap:
This invention is related to the rolling operation, During rolling operation load is applied to the material by the rollers. An IoT enable sensors can be used to analyzed the strength of the material before or after thickness reduction.
US11208702B2: There is provided a hot-rolled steel sheet in which a composition contains: in mass %, C: 0.01% to 0.2%; Si: 2.5% or less; Mn: 4.0% or less; P: 0.10% or less; S: 0.03% or less; Al: 0.001% to 2.0%; N: 0.01% or less; O: 0.01% or less; Ti: 0.01 to 0.30%; and the balance being composed of iron and impurities and a structure is composed of by volume fraction, 90% or more of tempered martensite with an average aspect ratio of 2 or less, or 90% or more in total of both tempered martensite and lower bainite.
Research Gap:
Cryogenic rolling is used to improve the strength and ductility of the material at the same time. By the use of IoT enabled sensors, strength can be determined for any percentage of thickness reduction.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. The present invention is internet of Things (IoT) has enormous development in recent trends of industrial, environmental, and medical applications. The availability of massive amount of processing power in the cloud, new opportunities have emerged for complete automation of industrial devices.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Over a period of time, the materials with ultra-fined grained are one of the key challenges with improved mechanical properties, microstructure, and corrosion resistance properties. Numerous industries work on various materials but the concern is to improve the properties of the material so that it can be used in aircraft industries, aerospace industries, and medical industries. But at the same time, ductility improvement is also a challenging task. So, industries need to go for a process that is suitable for both conditions. Severe plastic deformation (SPD) is one of the new approaches to developing ultra-fined grains in the material to be used. There are various SPD approaches but Cryo rolling is one of the quickest and most practical approaches to enhance the strength and ductility of the materials at the same time. Determining the strength enhancement of the test specimen during the Cryo Cross-Rolling process is still a challenge. During the process, time equipment needs continuous monitoring to enhance the safety, reliability, and availability and to decrease the cost of maintenance of modern industrial systems. An IoT-based framework and a user interface that allows a user to configure a test procedure and the ability to determine the enhancement of strength during the cry rolling processes is proposed in this invention.

BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
The above figures show the block diagrams and the process flowchart of the IoT-enabled Machine/Equipment Health Monitoring and Preventive Maintenance Suggestion system. A detailed description of the same is mentioned below.
[1 – 9] Machine Sensors: These are an integral part of the machine Monitoring Unit, where more than one sensor is based on the variables that need to be monitored as per the rated values by the equipment manufacturer. These variables and the respective sensors can differ from one Test equipment to another for a particular application. For a Rotating Machine element / Component in service the following sensor used are [1] Cryogenic Temperature sensor, [2] High-Speed HD Camera,[3] Material Data Feed, [4] Roller RPM measurement sensor, [5] Roller Load Cell Output, [6], [7] Ambient Temperature Sensor, [8] Test Subject temperature sensor,[9] Decibel Sensor.
[10]. Keyboard: It is a user interface used to feed the Rated Device values as per the prescribed values from the manufacturer. These values are the values specific to the Machine / Structure component under test Like the Input / Output requirement for which the system is supposed to work, Types of loads for which the system is designed, Materials specific to the test component, etc.
[11] Computing Unit: All the sensors employed give their respective inputs to this device. Along with the inputs from the sensors it also receives the data from a user-entered Rated Values of the Device and other fixed Cryo rolled Process Parameters. [12] Power Supply: This is the power supply unit for the Machine Monitoring Unit which fulfils the power requirements of all the sensors, Keyboard, RF Modem as well as Computing unit. [13] RF Modem: This is used to transmit data from the control unit to a Local Controller for further data processing. [14] Test Control Unit: various sensors in the units employed for multiple locations of the same machine / structure for a holistic analysis of the Machine/Structure. Each of these units consists parts from [1-13] which are the sensors or the input feeds. [15] Local Controller: It comprise of [20] RF Modem which receives the signals from the nearby machine monitoring units, [21] Microcontroller collects the data from RF Modem and stores in [22] Data Storage Device, then gives the modified output through a [23] Wi Fi Modem to Cloud Server.
[24] Power Supply -2: It fulfills the power requirement of all the components of Local Controller i.e. [20], [21], [22] and [23]. The data from the local Controller is feed to the [16] Cloud Server which in turn transmit the data to a [18] Web based application and [17] Android-based application so as to monitor the condition of the machine from a remote location and take the necessary action for the machine maintenance.
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
The above figures show the block diagrams and the process flowchart of the IoT enabled Machine/Equipment Health Monitoring and Preventive Maintenance Suggestion system. The detailed description of the same is mentioned below.
[1 – 9] Machine Sensors: These are the integral part of the machine Monitoring Unit, where more than one sensor based on the variables that need to be monitored as per the rated values by the equipment manufacturer. These variables and the respective sensors can differ from one Test equipment to another for a particular application. For a Rotating Machine element / Component in service the following sensor used are [1] Cryogenic Temperature sensor, [2] High Speed HD Camera,[3] Material Data Feed , [4] Roller RPM measurement sensor, [5] Roller Load Cell Output, [6] , [7] Ambient Temperature Sensor, [8] Test Subject temperature sensor,[9] Decibel Sensor.
[10]. Keyboard: It is a user interface used to feed the Rated Device values as per the prescribed values from the manufacturer. These values are the values specific to the Machine / Structure component under test Like the Input / Output requirement for which the system is suppose to work, Types of load for which the system is designed, Materials specific to the test component etc. [11] Computing Unit: All the sensors employed give their respective inputs to this device. Along with the inputs from the sensors it also receives the data from a user entered Rated Values of the Device and other fixed Cryo rolled Process Parameters. [12] Power Supply: This is the power supply unit for the Machine Monitoring Unit which fulfils the power requirements of all the sensors, Keyboard, RF Modem as well as Computing unit. [13] RF Modem: This is used to transmit data from the control unit to a Local Controller for further data processing. [14] Test Control Unit: various sensors in the units employed for multiple locations of the same machine / structure for a holistic analysis of the Machine/Structure. Each of these units consists parts from [1-13] which are the sensors or the input feeds. [15] Local Controller: It comprise of [20] RF Modem which receives the signals from the nearby machine monitoring units, [21] Microcontroller collects the data from RF Modem and stores in [22] Data Storage Device, then gives the modified output through a [23] Wi Fi Modem to Cloud Server. [24] Power Supply -2: It fulfills the power requirement of all the components of Local Controller i.e. [20], [21], [22] and [23]. The data from the local Controller is feed to the [16] Cloud Server which in turn transmit the data to a [18] Web based application and [17] Android-based application so as to monitor the condition of the machine from a remote location and take the necessary action for the machine maintenance.

We Claims:

1. IoT-enabled, strength enhancement prediction system for cross-rolling processes system is comprised cryogenic Compression sensor (1); High-speed HD Camera (2); Material Data (3); Roller RPM sensor (4); Strain Gauge Rosettes Output (5); FAC Series Gauge along with Crack Gauge adaptor (6); Ambient Temperature sensor (7); Test Subject Temperature sensor (8); Decibel sensor (9); Keyboard user input parameter (10); Computing unit (11); Power supply (12); RF Modem (13); Local controller (15); Cloud server (16); Android & web application (17 &18); RF &WiFi modem (20&23); Microcontroller (21); Data Storage (26).
2. The system as claimed in claim 1, wherein is designed for the strength prediction of Cryo sample for any thickness reduction. Determination of parameters like thickness reduction & strength for Cryogenic material during the Cryorolling process being evaluated.
3. The system as claimed in claim 1, wherein which consists of strength analysis can be made for room temperature rolling operation or Cryo genic treated rolling operation.
4. The system as claimed in claim 1, wherein consists of design facilitates to monitor of the equipment from any remote location. The equipment is equipped with a High-Speed HD Camera which can create the 3D Image of the Test Component which could then be utilized for the strength analysis being done at a remote location. Analysis details can be then shared on either the Android / Web Based application.
5. The system as claimed in claim 1, wherein which consists of foremost advantage of the system is it facilitates real-time monitoring from any location as the data is accessible from a web or android device.