Possibilities of Using Ecological Fluid in Agriculture

Kučera, Marián; Bujna, Marián; Korenková, Marcela; Haas, Peter

doi:10.4028/www.scientific.net/amr.1059.61

Cited by 7 publications

(8 citation statements)

References 9 publications

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“…They consist of seven basic statistical methods: Ishikawa diagram, Pareto analysis, histogram, flowchart, checklist, correlation diagram, and control charts. These methods are one of the many tools for improving the process of performance according to the DMAIC (Six Sigma improvement cycle) (Kučera et al, 2014). The appropriate application of simple statistical methods is essential for management and for quality assurance and implementation of the quality management system (Kadnár et al, 2011).…”

mentioning

confidence: 99%

Quality Control in Production Processes

Prístavka

Kotorová

Savov

2016

Acta Technologica Agriculturae

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The tools for quality management are used for quality improvement throughout the whole Europe and developed countries. Simple statistics are considered one of the most basic methods. The goal was to apply the simple statistical methods to practice and to solve problems by using them. Selected methods are used for processing the list of internal discrepancies within the organization, and for identification of the root cause of the problem and its appropriate solution. Seven basic quality tools are simple graphical tools, but very effective in solving problems related to quality. They are called essential because they are suitable for people with at least basic knowledge in statistics; therefore, they can be used to solve the vast majority of problems.

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mentioning

confidence: 99%

Quality Control in Production Processes

Prístavka

Kotorová

Savov

2016

Acta Technologica Agriculturae

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“…Similarly, quality control charts are often used alongside with AI in quality monitoring and also through pictorial illustration of quality trend in production batch, for instance in [20] simple statistical analysis method was used in interpreting quality results. It was noted in [21], that Japan adopted statistical method and tools in quality management. In Japan, certain quality control system has been in use in the manufacturing sector, for instance [20] submitted that the following system has been consistently engaged in intelligent manufacturing quality control in Japanese production process; Ishikawa, flow chart, figure and diagrams, pareto analysis, checklist and correlation among others.…”

Section: Quality Control In Manufacturing Industrymentioning

confidence: 99%

“…In Japan, certain quality control system has been in use in the manufacturing sector, for instance [20] submitted that the following system has been consistently engaged in intelligent manufacturing quality control in Japanese production process; Ishikawa, flow chart, figure and diagrams, pareto analysis, checklist and correlation among others. [21] identified six sigma template as being a useful tools as well in quality control monitoring process. Similarly, product reliability is also another measure introduced in ensuring quality in product development [22] presented quality control methods that could be used to enhanced productivity and safety [23].…”

Section: Quality Control In Manufacturing Industrymentioning

confidence: 99%

“…In this section challenges involved in the adapting of disruption application in intelligent manufacturing is outlined in Table 5. There are methods that could be used to control quality during manufacturing process [20,21,43] alluded that discrepancies in the document and. Process involved in manufacturing could be identified and process with different method, difficulty in the choice of correct method has been a challenge from time.…”

Section: Issues and Challenges Involved In Adapting Quality Control Smentioning

confidence: 99%

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Adapting Disruptive Applications in Managing Quality Control Systems in Intelligence Manufacturing

Amusan¹,

Aigbavboa²,

Emetere³

et al. 2021

Quality Control - Intelligent Manufacturing, Robust Design and Charts

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Controlling quality has become a major trend in the circle of manufacturers and production managers that engage in intelligent manufacturing all over the world, on account of industry 4.0, in recent times. Intelligent manufacturing therefore is the use of advanced applications, analytics, sensors and Internet of Things (IoT) to improve manufacturing. The aim of the study is to carry out a study on application of disruptive application in managing quality system in intelligent manufacturing with a view to improving manufacturing process in organizations. Survey methods was used in collating responses from production managers of manufacturing companies at selected locations censoring production managers and supervisors on some parameters such as areas of disruptions in the quality assurance monitoring and calibration in production process, issues and challenges involved in quality control systems in manufacturing, Man-Whitney U Test, T-test, Pearson’s Test were used to analyze the collated data. Also, this study presents advanced analytical tools and applications to improve quality in manufacturing process. The study finally presents areas of disruptions in the quality assurance monitoring and calibration in production process, issues and challenges involved in quality control systems in manufacturing, emerging areas of application and recommendation for improvement.

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“…Another study that was carried by Kučera el al. [14] compared a sliding pair with a B60 bearing and a journal with a contact surface that was made of 16MnCr5 steel. The lubricated tests were conducted using biodegradable oil HEES and mineral oil.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the tribological performances of biodegradable hydraulic oils HEES and HEPR in the sliding of Cu–Zn/WC–CoCr alloys using the Stribeck curve

Castro¹,

Curi²,

Inácio³

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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In surface engineering, new coatings and deposition techniques for decreasing wear have been proposed. However, the tribological behaviors of these coatings under lubricated sliding with biodegradable oils are unknown. The objective of this study was to evaluate the tribological behaviors of two hydraulic biodegradable oils, namely hydraulic environmental ester oil synthetic (HEES) and hydraulic oil environmental polyalphaolefin (HEPR), with hydraulic mineral oil (HLP), using a pin-on-disk tribometer. In the sliding tests, a Cu-35Zn sphere against a flat surface is coated with WC-10Co4Cr alloy using a HVOF thermal spray. The Stribeck curve was used to evaluate the performances of the lubricants. The coefficient of friction, the contact pressure, and the film thickness were determined. In addition, the coefficient of wear of the sphere was evaluated, and the oil with the lowest value was identified, which was HEPR in this case. In long-term tests, HEPR was affected by the stick-slip phenomenon, which increased the coefficients of friction and wear. Furthermore, the mechanism of adhesion of the sphere on the disk was more evident with the use of HEES compared to HLP. The highest concentrations of Zn and P and the pressure-viscosity coefficient value, which was detected in the mineral oil, caused friction reduction and lower damage to the surfaces. Therefore, it is important to evaluate the tribological conditions of synthetic bio-lubricants for applications in hydraulic systems.

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Possibilities of Using Ecological Fluid in Agriculture

Cited by 7 publications

References 9 publications

Quality Control in Production Processes

Quality Control in Production Processes

Adapting Disruptive Applications in Managing Quality Control Systems in Intelligence Manufacturing

Analysis of the tribological performances of biodegradable hydraulic oils HEES and HEPR in the sliding of Cu–Zn/WC–CoCr alloys using the Stribeck curve

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