Search or ask a question

What is the current state of robotisation in the foundry industry for calibration processes?

Robot end effector

Articulated robot

Industrial robot

Best insight from top research papers

The current state of robotisation in the foundry industry for calibration processes involves the integration of advanced technologies such as cyber-physical systems, neural networks, and calibration methods to enhance precision and efficiency. Automation in the foundry industry is progressing towards high precision and intelligence, with a focus on improving the accuracy of industrial robots through calibration techniques. Research has led to the development of inline calibration methods that compensate for geometrical errors independently of their origin, resulting in improved process results. Additionally, the use of neural network controllers in manipulation robots aids in solving complex tasks like abrasive machining with high precision and reduced development complexity. Overall, advancements in robot calibration technologies are crucial for achieving higher levels of accuracy and efficiency in the foundry industry.

Answers from top 5 papers

PDF

Open Access

More filters

Papers (5)	Insight
Open access•Proceedings Article•DOI Robot control system for multi-position alignment used to automate an industrial robot calibration approach. Erick Nieves, Ning Xi - Show less +1 more 01 May 2014 3 Citations	The current state of robotisation in the foundry industry for calibration processes involves developing a user-friendly, automated system to enhance accuracy and efficiency in industrial robot manipulators.
Patent Robot calibration method and workpiece handling system Schaller Jason M, Robert Brent Vopat, James R. McLane - Show less +2 more 01 Jun 2014 1 Citations	The paper presents a robot calibration method aligning gantry and camera coordinate systems, enhancing precision in foundry industry processes, indicating advancements in robotisation for calibration.
Journal Article•DOI An overview of calibration technology of industrial robots Zhibin Li, Shuai Li, Xin Luo - Show less +2 more 01 Jan 2021-IEEE/CAA Journal of Automatica Sinica 123 Citations	Not addressed in the paper.
Proceedings Article•DOI Inline calibration method for robot supported process tasks with high accuracy requirements Arnd Buschhaus, Maximilian Wagner, Jörg Franke - Show less +2 more 01 Jul 2017 1 Citations	The paper introduces an inline calibration method for robot-supported process tasks with high accuracy requirements, improving process results by compensating for geometrical deviations, enhancing robot calibration in foundry industry.
Book Chapter•DOI Automation in Foundry Industry: Modern Information and Cyber-Physical Systems M. V. Arkhipov, V. V. Matrosova, I. N. Volnov - Show less +2 more 08 Sep 2019 3 Citations	The foundry industry is advancing with cyber-physical systems like manipulation robots for grinding tasks. Neural network controllers enhance precision by solving inverse kinematics problems efficiently in calibration processes.

My columns

Related Questions

What is the current state of automation of metallurgical processes?5 answersThe current state of automation in metallurgical processes is advancing rapidly, driven by Industry 4.0 technologies and robotics. Automation systems are increasingly used in mining and foundry industries for tasks like controlling fixed plant equipment and manipulating metal parts. Robotic manipulation in metallurgical processes, such as forging, enhances safety and efficiency by replacing human workers in hazardous environments. Mathematical modeling plays a crucial role in optimizing control parameters in metallurgical facilities, with a focus on input-output parameter dependencies. The integration of cyber-physical systems, IoT, and neural networks is revolutionizing the foundry industry, particularly in tasks like grinding parts after casting. Overall, the use of automation in metallurgical processes continues to evolve, with a strong emphasis on safety, efficiency, and optimization.

What is the current state of industrial manufacturing automation?5 answersThe current state of industrial manufacturing automation is rapidly evolving, with a focus on incorporating advanced technologies like robotic process automation, artificial intelligence, and intelligent process automation. Industry 4.0 has significantly increased the use of robots in factories, with estimates suggesting that by 2030, around 20 million manufacturing jobs worldwide could be replaced by automation. The evolution of factory automation systems (FAS) has led to the integration of cyber-physical technologies, enhancing manufacturing processes and technologies. Automation solutions are being embraced globally to improve productivity, reduce costs, and enhance the accuracy of crucial business activities, ultimately transforming employee roles into more high-level tasks. Despite the positive impacts on productivity and safety, concerns about job losses and efficiency due to automation still persist.

What are the current trends and advancements in automated robotics used in manufacturing processes?4 answersThe current trends and advancements in automated robotics used in manufacturing processes include the adoption of robotic systems in various industries to increase output efficiency and improve product and service quality. Robotic technology, integrated with artificial intelligence and machine learning algorithms, allows manufacturers to react to critical situations and perform intricate sequences of tasks. The focus is on the accuracy and precision of robots during milling operations, with the use of manipulator stiffness models to estimate failures and calculate performance metrics. Automation solutions like robotic process automation (RPA), artificial intelligence (AI), and intelligent process automation (IPA) are being widely used to reduce costs, speed up processes, and improve business activities' accuracy. The concept of hyperautomation, combining AI and machine learning, is emerging as a trend to automate every imaginable business function. These advancements in automated robotics aim to increase productivity, reduce labor-intensive tasks, and optimize manufacturing processes.

What are the challenges in calibrating robotic vision systems?5 answersCalibrating robotic vision systems poses several challenges. One key challenge is understanding the extent of measurement errors, which are directly related to the calibration process. Minor uncertainties in the calibration process can significantly impact the accuracy of the robotic vision system. Another challenge is the need for automatic calibration when image quality changes abruptly, as current robot vision systems struggle to calibrate effectively in different environments. Additionally, the optical system of vision systems introduces distortion during image recording, which needs to be removed for accurate measurements. Ensuring full observability of calibration parameters is also a challenge, as some directions in parameter space may be unobservable for certain measurement sequences. Overall, these challenges highlight the importance of developing robust and accurate calibration methods for robotic vision systems.

How can ontologies be used for calibration/metrology?3 answersOntologies can be used for calibration/metrology by providing a structured and formal representation of concepts, objects, properties, and their relationships. They help establish a model of the world, allowing for the derivation of machine-processed knowledge. Ontology evaluation is crucial to ensure the quality and accuracy of the ontology before use or reuse. Metrics are used to measure the quality of ontologies from different dimensions. By evaluating existing ontologies, researchers can select and reuse them for calibration/metrology purposes, saving time and cost. Ontologies can also be evaluated for potential errors and issues, enabling a well-founded decision on which ontology to use. Overall, ontologies provide a means to represent and evaluate calibration/metrology concepts, facilitating automated data analysis and knowledge sharing in the context of Industry 4.0.

How is machine learning used to calibrate industrial robots?5 answersMachine learning is used to calibrate industrial robots by developing error compensation models. One approach is to use artificial neural networks (ANNs) to increase the accuracy of robots. Another approach is to use a hybrid neural network-based method that compensates for both geometric and non-geometric error sources. Additionally, machine learning algorithms such as Support Vector Regression (SVR) can be employed to reduce robot error. The relationship between robot positioning error and servo information can be examined using machine learning techniques like the random forest approach. Furthermore, learning-based machine intelligence tools, such as the K-nearest neighbor (KNN) algorithm, can be used to compute joint torques in the inverse dynamics paradigm. Overall, machine learning enables the improvement of industrial robot accuracy by compensating for errors and optimizing robot performance.

See what other people are reading

How creativity supports knowledge retention?

Creativity plays a crucial role in supporting knowledge retention by enhancing memory confidence and productivity. In educational settings like architectural studies, creative exercises and concept maps are utilized to retain information about built forms effectively. Moreover, in requirements engineering for innovative product development, creativity is essential for generating new ideas and active problem-solving, highlighting the importance of creativity in knowledge acquisition. Additionally, self-organization methods based on fuzzy knowledge and chaotic retrieval mimic human creativity, aiding in creating new control rules and adapting to changing environments, as demonstrated in mobile robot experiments. Furthermore, workplace studies show that creative participation significantly increases employee retention rates, emphasizing the link between creativity and knowledge retention.How work multisensory ınterfaces on robotic?

Multisensory interfaces on robots integrate various sensory modalities like vision, touch, and sound to enhance their perception and manipulation capabilities. By combining inputs from sensors, robots can overcome limitations of individual modalities, leading to more robust and efficient autonomous systems. These interfaces enable robots to see the global environment, receive immediate feedback through audio cues, and obtain precise local information through tactile sensors, significantly improving their performance in complex tasks like dense packing and pouring. Implementing multisensory systems involves fusing different sensory inputs using advanced models like self-attention networks, enhancing the robot's ability to interact with and adapt to its surroundings in real-time. Such systems mimic human multisensory integration, providing robots with a more comprehensive understanding of their environment and enabling them to accomplish tasks more effectively.At what value of ESR is a li-ion battery considered degraded?

The Equivalent Series Resistance (ESR) value at which a lithium-ion battery is considered degraded varies based on the study. In one study, it was found that the resistance components obtained using Equivalent Circuit Modeling (ECM) with R2 values ranging from 0.67 to 0.99 can serve as indicators of battery aging, suggesting that an increasing ESR value could indicate degradation. Additionally, another study highlighted that the resistance Rct caused by cathode/electrolyte interface reaction rate can be an indicator of cell capacity fade beyond 10 cycles, implying that a higher ESR associated with this reaction rate could signify degradation. Therefore, a significant increase in ESR, as detected through techniques like ECM or analysis of cathode reaction rates, may signal the degradation of a lithium-ion battery.What is the relavance of visual study for an effective navigational consideration for planning?

Visual studies play a crucial role in effective navigational considerations for planning. Research indicates that humans heavily rely on vision for navigation in complex environments. Visual information, such as perceptual landmarks and color models, aids in self-location for mobile robots during navigation. Additionally, the use of 3D graphics and realistic visual representations in simulators enhances analysts' understanding of ship navigation safety. Contrary to traditional depth map approaches, integrating task-specific visual information simplifies navigation tasks like obstacle avoidance and hand/eye coordination for robots, enabling real-time control without complex calibration procedures. Furthermore, effective visual design in virtual environments is essential for training navigational memory in humans, emphasizing the importance of including specific visual features to create memorable scenes and paths.How does visual study contribute to effective navigation planning?

Visual studies play a crucial role in effective navigation planning by providing insights into how individuals utilize visual information for spatial orientation and decision-making. Research has shown that humans rely heavily on vision in unfamiliar environments, and vision-based navigation systems can generate topological maps for self-localization and path planning. Additionally, visual memory in the form of key images can aid in navigating without traditional learning stages. Moreover, the use of perceptual landmarks and visual serving control can help mobile robots achieve self-location accurately. Furthermore, studies have demonstrated that the level of realism in geovisualizations impacts users' navigation experience, with virtual tours leading to more detailed mental spatial representations and better decision-making support. Overall, visual studies enhance navigation planning by leveraging visual cues, memory, and representations to facilitate efficient and effective navigation.What is the relavance of visual study for an effective navigational consideration from Pilgrimage perspective for planning?

Visual studies play a crucial role in enhancing navigational considerations, especially in pilgrimage planning. By utilizing perceptual landmarks, effective visual designs, and visitor-employed photographs, planners can create immersive and memorable experiences for pilgrims. These visual elements aid in self-location for mobile robots, support human navigational memory, and provide insights into visitors' experiences along pilgrimage routes. Integrating visual information with navigation tasks simplifies robotics problems, allowing for real-time control and obstacle avoidance. Therefore, incorporating visual study in pilgrimage planning not only enriches the overall experience but also contributes to effective route management by enhancing the quality of open views and engaging visitors with local cultures.How to temporal deviation may lead to degradation in industrial systems?

Temporal deviation can lead to degradation in industrial systems by affecting various aspects such as maintenance impacts, degradation modeling, and accuracy. In the context of AI models, temporal degradation refers to the decline in model quality over time since the last training cycle, highlighting the challenge of maintaining reliability. Additionally, in laser systems, temporal contrast degradation due to wave front deviation can impact the ultra-short pulse focusing system, emphasizing the importance of controlling and optimizing the wave front to prevent degradation. Furthermore, in robot systems, accuracy degradation can occur over time, affecting manufacturing quality and efficiency, necessitating the development of technologies for health assessment and monitoring to mitigate degradation effects. These insights underscore the significance of addressing temporal deviations to prevent degradation in industrial systems.Why does Lego use localization strategy at Lego?

Lego utilizes a localization strategy to support its internationalization efforts and business growth. By expanding its territorial footprint globally, Lego aims to reach new customer groups, connect with new suppliers, and engage with new innovation ecosystems. The company's focus on internationalization is crucial for reigniting business growth, especially when facing market saturation in current regions. The platformization of Lego's Information Systems (IS) landscape plays a key role in enabling this internationalization strategy by mitigating the challenges posed by psychic distance when entering new markets. Through the localization strategy, Lego can adapt its offerings to meet local market demands and legal requirements, enhancing its responsiveness and competitiveness in diverse international markets.Why do cats have 4 legs?

Cats, like many other quadrupeds, have four legs as it is a common feature in vertebrate animals for terrestrial locomotion. Quadrupedal movement, characterized by the use of four legs, is prevalent among mammals such as cats, dogs, and farm animals, as well as reptiles like lizards. The design of a four-legged robot inspired by animal locomotion, such as a cheetah, aims to achieve fast and energy-efficient movement. In robotics, quadrupedal systems offer flexibility and agility, allowing for both static and dynamic walking, similar to the capabilities seen in cheetahs, the fastest mammal runners. Therefore, the presence of four legs in cats serves as an evolutionary adaptation that provides stability, agility, and efficient movement on land.Method behavior mapping on mosque at mall?

Behavior mapping, a method used to link physical activity with environmental design, can be adapted for studying behavior patterns in mosques at malls. By applying behavior mapping techniques, researchers can observe how individuals interact within the mosque setting, including areas like prayer halls, ablution facilities, and social gathering spaces. This method allows for detailed data collection on movement patterns, congregation sizes, and engagement levels in different areas of the mosque. Additionally, behavior mapping can help identify how the design and layout of the mosque within the mall influence visitor behavior and engagement. By utilizing behavior mapping in this context, researchers can gain insights into optimizing the mosque's layout and design to enhance the overall experience for worshippers and visitors.Using vibration enhance arm deformation?

Vibration can indeed enhance arm deformation, as seen in various contexts. The use of mechanical vibration during arm flexion has been shown to significantly enhance the average power in the treated arm, indicating an impact on muscle performance and deformation. Additionally, the exposure to vibrations, especially in industrial settings, can lead to degradation of the internal human structure, potentially causing musculoskeletal disorders like Hand-Arm Vibration Syndrome (HAVS). Furthermore, vibratory devices designed for posttraumatic rehabilitation of upper limbs can induce structural deformation in a controlled manner to stimulate muscular, circulatory, and neurological systems, aiding in the recovery process. Therefore, controlled vibration applications can influence arm deformation positively, either for enhancing muscle performance or for rehabilitation purposes.