Computer integrated work-space quality improvement of the C4 parallel robot CMM based on kinematic error model for using in intelligent measuring

Aliakbari, Mohammad; Mahboubkhah, Mehran; Sadaghian, Mohammadali; Barari, Ahmad; Akhbari, Sina

doi:10.1080/0951192x.2021.1992654

Cited by 9 publications

(3 citation statements)

References 49 publications

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“…During the movement of the robotic arm, its travel is limited. The working space represents the reachable position of the reference point in the end mechanism of the robotic arm, and its size represents the spatial field of the movement of the robotic arm, which is one of the important indicators of the robotic arm [21]. According to the design parameters of the module docking robot in Table 1, and through the forward kinematics Equations ( 1) and ( 2) of the left and right robotic arms, the feasible domain in the working space is obtained, as shown in Table 3.…”

Section: Workpace Analysismentioning

confidence: 99%

Design and Analysis of the Mechanical Structure of a Robot System for Cabin Docking

Liu,

Pan

2024

Actuators

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Aiming at the disadvantages of traditional manual docking, such as low assembly efficiency and large positioning error, a six-DOF dual-arm robot system for module docking is designed. Firstly, according to the operation tasks of the cabin docking robot, its functional requirements and key indicators are determined, the overall scheme of the robot is designed, and the composition and working principle of the robot joints are introduced in detail. Secondly, a strength analysis of the core components of the docking robot is carried out by finite element analysis software to ensure its load capacity. Based on the kinematics model of the robot, the working space of the robot mechanism is simulated and analyzed. Finally, the experimental platform of the docking robot is built, and the working space, repeated positioning accuracy, and motion control accuracy of the docking robot mechanism are verified through experiments, which meet the design requirements.

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Section: Workpace Analysismentioning

confidence: 99%

Design and Analysis of the Mechanical Structure of a Robot System for Cabin Docking

Liu,

Pan

2024

Actuators

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“…As the economic centre of China, Shanghai is located in the Yangtze River Delta, bordered by the East China Sea to the east, Hangzhou Bay to the south, Jiangsu and Zhejiang provinces to the west and the mouth of the Yangtze River to the north, where the Yangtze River and the East China Sea are connected. With the acceleration of industrialization and the continuous improvement of China's openness after its accession to the WTO, it is the largest city in China and one of the largest steel production and export bases in the world [7][8]. According to the provisions of the Energy Conservation Law of the People's Republic of China, strictly practicing thrift and saving without wasting natural resources, strictly controlling the production scale and product structure of high energy consuming enterprises, reducing high-energy consumption and inefficient production and other measures are conducive to reducing total pollutant emissions, promoting sustainable economic and social development, and protecting the balance of the ecological environment.…”

Section: Current Industrial Situation In Shanghaimentioning

confidence: 99%

Optimization of peak path of industrial carbon emissions in Shanghai based on integrated intelligent algorithm

Lin

2023

Second International Conference on Sustainable Technology and Management (ICSTM 2023)

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With the continuous advancement of industrialization, energy consumption is increasing, and carbon emissions are also rising, causing great harm to greenhouse gases and the environment. Based on the objectives of energy conservation and emission reduction, reducing pollutant generation and promoting sustainable economic development, it has become one of the important tasks for our society to increase industrial technology innovation to achieve low energy consumption and high efficiency. Based on Shanghai energy conservation and environmental protection industry as the research object, this paper uses integrated intelligent algorithm to model and analyze. Firstly, the grey system theory is used to build the model of influencing factors and ways of carbon emissions of low-energy industrial enterprises in Shanghai, and then the ant colony optimization method is used to build the distribution map of CO2 emission intensity in the nuclear fusion chemical project in Shanghai society to predict the carbon source value and calculate the carbon dioxide emission reduction. From the experimental results, it can be seen that the optimization efficiency of Shanghai's industrial carbon emission peak path model by integrating intelligent algorithms is in the range of 55% - 72%, the carbon emissions before optimization are 5678kg - 6735kg, and the carbon emissions after optimization are 3673kg - 4231kg. This shows that the optimization model meets the needs of users.

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“…The initial value is compared with the adaptive function of BP neural network; obtain new populations through operations such as crossover and mutation until the goal is optimized, and then repeat the genetic operation until the genetic iteration is completed. By optimizing the BP neural network [28]. On this basis, the optimal initial value and minimum threshold can be obtained.…”

Section: B Improved Neural Network Algorithm Based On Genetic Algorithmmentioning

confidence: 99%

Research on Recommendation Model of College English MOOC based on Hybrid Recommendation Algorithm

Ding¹,

Jiang²

2023

IJACSA

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Establishing a reasonable and efficient compulsory education balance index system is very important to boost the all-around of compulsory education development, and then realize the course recommendation for students with different attributes. Based on this, the research aimed at the problems in college English education and evaluation, aimed to establish a college English MOOC education and evaluation system based on the improved neural network recommendation algorithm. The research first constructed the college English MOOC education and evaluation data elements, and then established a genetic algorithm improved neural network algorithm (BP Neural Network Optimization Algorithm Based on Genetic Algorithm, GA-BP), and finally analyzed the effect of the assembled model. These results show that the fitness of the GA-BP model reaches the set expectation when the evolutionary algebra reaches 10 times, and its fitness is 0.6. The corresponding threshold and weight are obtained, and the threshold and weight are substituted into the model. After repeated iterative training, the model finally reached an error of 10-3 when it was trained 12 times, and the expected accuracy was achieved. The R value of each set hovered around 0.97, and the fitting degree was high, which showed that the GA-BP model proposed in the study had a better fitting degree. The difference between the expected value and the output value is mainly distributed in the [-0.08083, 0.06481] interval. To sum up, the GA-BP model proposed in the study has an excellent effect on college English education and evaluation. This evaluation model has a faster learning rate and a higher prediction accuracy and more stable performance.

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Computer integrated work-space quality improvement of the C4 parallel robot CMM based on kinematic error model for using in intelligent measuring

Cited by 9 publications

References 49 publications

Design and Analysis of the Mechanical Structure of a Robot System for Cabin Docking

Design and Analysis of the Mechanical Structure of a Robot System for Cabin Docking

Optimization of peak path of industrial carbon emissions in Shanghai based on integrated intelligent algorithm

Research on Recommendation Model of College English MOOC based on Hybrid Recommendation Algorithm

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