The Experts below are selected from a list of 2028 Experts worldwide ranked by ideXlab platform

Emil Bjorlykhaug - One of the best experts on this subject based on the ideXlab platform.

  • experimental study of effectiveness of robotic cleaning for Fish Processing Plants
    Food Control, 2019
    Co-Authors: Lars Andre Langoyli Giske, Emil Bjorlykhaug, Trond Lovdal, Ola Jon Mork
    Abstract:

    Abstract This paper presents the development and experimental testing of the effectiveness of a robotic cleaning system for Fish Processing Plants. The Processing of Fish introduces a substantial risk of bacterial contamination, which can cause the spoilage of Fish and pose a threat to consumers’ health. Good operational hygiene and precautions, in addition to regular cleaning of the Processing Plants, are necessary for the reduction of the risk of contamination. The state-of-the art cleaning techniques currently include manual cleaning operations of Fish Processing Plants. The experiments of robotic cleaning presented in this paper were performed in two rounds. First, a test using a conventional low-cost industrial robot mounted on a vertical linear axis was used. As the results from this test seemed promising, a second robotic system was built aiming at a more industrialized version. This system consisted of a serial manipulator, tailored for the task, mounted on a horizontal transportation system, and a comparison was conducted between the cleaning performed by human operators and that performed by the robotic system. An electrical stunner with a connected conveyor belt, which is a typical installation for salmon Processing Plants, was experimentally inoculated with a cocktail of Fish-spoilage bacteria that were allowed to develop a biofilm. Back-to-back cleaning trials with biofilms of Pseudomonas fluorescens, Pseudomonas putida, and Photobacterium phosphoreum confirmed that the industrialized robotic prototype performed equally well or better than the conventional manual cleaning procedure currently used in the industry. The results demonstrate that a robotic system can deliver satisfactory results in the cleaning of Fish Processing Plants, thereby minimizing the potential for the spread of contamination. The proposed robotic concept allows for an automated cleaning system, reduced human labor, increased profitability for the industry, and better stability of the cleaning process.

  • mechanical design optimization of a 6dof serial manipulator using genetic algorithm
    IEEE Access, 2018
    Co-Authors: Emil Bjorlykhaug, Olav Egeland
    Abstract:

    Robots are becoming increasingly more common in the industry. In order to expand the use of robotic manipulators to complex tasks, a higher degree of tailoring of robots may be required. Tailoring of the mechanical design of a robot manipulator can be formulated as an optimization problem and we propose to use Genetic Algorithms (GA) to optimize link lengths, link diameters, and link thickness in order to determine the robot design for a given fitness function. As a case, the optimization of a robot manipulator for automated cleaning of Fish Processing Plants is presented. For this application, the kinematic layout and joint configuration are decided beforehand. The dynamics of the robotic manipulator are presented along with the optimization algorithm and implemented in Java. Results show that the GA is well suited for the optimization of the design.

Ola Jon Mork - One of the best experts on this subject based on the ideXlab platform.

  • experimental study of effectiveness of robotic cleaning for Fish Processing Plants
    Food Control, 2019
    Co-Authors: Lars Andre Langoyli Giske, Emil Bjorlykhaug, Trond Lovdal, Ola Jon Mork
    Abstract:

    Abstract This paper presents the development and experimental testing of the effectiveness of a robotic cleaning system for Fish Processing Plants. The Processing of Fish introduces a substantial risk of bacterial contamination, which can cause the spoilage of Fish and pose a threat to consumers’ health. Good operational hygiene and precautions, in addition to regular cleaning of the Processing Plants, are necessary for the reduction of the risk of contamination. The state-of-the art cleaning techniques currently include manual cleaning operations of Fish Processing Plants. The experiments of robotic cleaning presented in this paper were performed in two rounds. First, a test using a conventional low-cost industrial robot mounted on a vertical linear axis was used. As the results from this test seemed promising, a second robotic system was built aiming at a more industrialized version. This system consisted of a serial manipulator, tailored for the task, mounted on a horizontal transportation system, and a comparison was conducted between the cleaning performed by human operators and that performed by the robotic system. An electrical stunner with a connected conveyor belt, which is a typical installation for salmon Processing Plants, was experimentally inoculated with a cocktail of Fish-spoilage bacteria that were allowed to develop a biofilm. Back-to-back cleaning trials with biofilms of Pseudomonas fluorescens, Pseudomonas putida, and Photobacterium phosphoreum confirmed that the industrialized robotic prototype performed equally well or better than the conventional manual cleaning procedure currently used in the industry. The results demonstrate that a robotic system can deliver satisfactory results in the cleaning of Fish Processing Plants, thereby minimizing the potential for the spread of contamination. The proposed robotic concept allows for an automated cleaning system, reduced human labor, increased profitability for the industry, and better stability of the cleaning process.

Olav Egeland - One of the best experts on this subject based on the ideXlab platform.

  • mechanical design optimization of a 6dof serial manipulator using genetic algorithm
    IEEE Access, 2018
    Co-Authors: Emil Bjorlykhaug, Olav Egeland
    Abstract:

    Robots are becoming increasingly more common in the industry. In order to expand the use of robotic manipulators to complex tasks, a higher degree of tailoring of robots may be required. Tailoring of the mechanical design of a robot manipulator can be formulated as an optimization problem and we propose to use Genetic Algorithms (GA) to optimize link lengths, link diameters, and link thickness in order to determine the robot design for a given fitness function. As a case, the optimization of a robot manipulator for automated cleaning of Fish Processing Plants is presented. For this application, the kinematic layout and joint configuration are decided beforehand. The dynamics of the robotic manipulator are presented along with the optimization algorithm and implemented in Java. Results show that the GA is well suited for the optimization of the design.

Lars Andre Langoyli Giske - One of the best experts on this subject based on the ideXlab platform.

  • experimental study of effectiveness of robotic cleaning for Fish Processing Plants
    Food Control, 2019
    Co-Authors: Lars Andre Langoyli Giske, Emil Bjorlykhaug, Trond Lovdal, Ola Jon Mork
    Abstract:

    Abstract This paper presents the development and experimental testing of the effectiveness of a robotic cleaning system for Fish Processing Plants. The Processing of Fish introduces a substantial risk of bacterial contamination, which can cause the spoilage of Fish and pose a threat to consumers’ health. Good operational hygiene and precautions, in addition to regular cleaning of the Processing Plants, are necessary for the reduction of the risk of contamination. The state-of-the art cleaning techniques currently include manual cleaning operations of Fish Processing Plants. The experiments of robotic cleaning presented in this paper were performed in two rounds. First, a test using a conventional low-cost industrial robot mounted on a vertical linear axis was used. As the results from this test seemed promising, a second robotic system was built aiming at a more industrialized version. This system consisted of a serial manipulator, tailored for the task, mounted on a horizontal transportation system, and a comparison was conducted between the cleaning performed by human operators and that performed by the robotic system. An electrical stunner with a connected conveyor belt, which is a typical installation for salmon Processing Plants, was experimentally inoculated with a cocktail of Fish-spoilage bacteria that were allowed to develop a biofilm. Back-to-back cleaning trials with biofilms of Pseudomonas fluorescens, Pseudomonas putida, and Photobacterium phosphoreum confirmed that the industrialized robotic prototype performed equally well or better than the conventional manual cleaning procedure currently used in the industry. The results demonstrate that a robotic system can deliver satisfactory results in the cleaning of Fish Processing Plants, thereby minimizing the potential for the spread of contamination. The proposed robotic concept allows for an automated cleaning system, reduced human labor, increased profitability for the industry, and better stability of the cleaning process.

Janne Lunden - One of the best experts on this subject based on the ideXlab platform.

  • strengthening the efficacy of official food control improves listeria monocytogenes prevention in Fish Processing Plants
    Scientific Reports, 2018
    Co-Authors: Mariella Aaltoaraneda, Hannu Korkeala, Janne Lunden
    Abstract:

    Vacuum-packaged cold-salted and cold-smoked Fish products are considered typical vehicles for Listeria monocytogenes, the causative agent of the food-borne disease listeriosis, which is increasingly prevalent in the European Union. Efficacy of both the Fish Processing plant self-checking system and official food control conducted by authorities are crucial for L. monocytogenes prevention in the Processing of these risky products. However, the impact of official control on L. monocytogenes prevention in the Processing of Fish products has not been extensively studied. We investigated the occurrence, control measures, and correction of non-compliances predisposing to L. monocytogenes in Finnish Fish Processing Plants. The following features were associated with L. monocytogenes occurrence: (a) frequency of non-compliances concerning Processing machinery, (b) recurrence of non-compliances, and (c) frequency of non-compliances for which official control measures were requested by inspecting authorities. Official control of Fish Processing Plants had focused on risky areas, but non-compliances were common and their correction exhibited deficiencies. We conclude that L. monocytogenes prevention in Fish Processing can be enhanced by strengthening official food control measures and Processing plant compliance. In particular, timely correction of all food safety violations must be improved.