The Role of the Process and Design Variables in Improving the Performance of Heat Exchanger Tube Expansion

Han, Changwan; Sin, I.; Kwon, Hyerin; Park, Seonghun

doi:10.3390/app8050756

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…With the results obtained using the DEA model of Super Efficiency oriented to inputs with non-decreasing returns to scale, the same conclusions were obtained as those obtained through Statistical Process Control and DOE, so that the order of preference of the die-nozzle models is as follows: 3DND, 1DNL, 2DNV, 4DNK, and 5DNS [32,33]. The methods to optimize the design proposed in [1] were very useful for following work in the improvement of tooling and manufacturing processes.…”

Section: Discussionsupporting

confidence: 62%

“…Table 5 presents ANOVA duration vs. die-nozzle model. Table 6 presents the the results of the ANOVA for the three variables: duration, volume of production, and volume of scrap, it can be seen that the value P test is limited to a precision of only 1 thousandth, so any value less than this amount is presented as 0.000 [32]. In this case, it can be observed that there is a significant difference in the average duration of at least two die-nozzle models, with a value of significance α = 0.05 [33].…”

Section: Results 23-awg Production Processmentioning

confidence: 99%

See 1 more Smart Citation

Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors

Zamora-Antuñano

Cruz-Salinas²,

Rodríguez‐Reséndiz

et al. 2019

Applied Sciences

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The main focus of this research was to develop an approach using statistical tools and Data envelopment analysis (DEA) to tackling productivity measurements and benchmarking problems in electrical conductor manufacturing environment. In the present work, a tooling efficiency study was carried out with a nozzle used for the manufacture of 23-AWG wires. The efficiency of five types of tooling, four non-Mexican-manufactured types and one Mexican-manufactured type, were compared. Analysis of Variance (ANOVA) and the Tukey test were applied. Six factors were considered that influence of the performance of the tooling during the manufacturing process: productivity, quality, time, machine, operator, and color of the insulating material, but the research work focuses on the efficiency of the tooling die-nozzle. The results demonstrated that two die-nozzle models exhibited the best performance; one of them was the Mexican model, surpassed by a non-Mexican model, the capability process index Cpk = 1.26 manifested a better performance for the 3DND die-nozzle according to the statistical analysis and the tests performed. Subsequently, through a super-efficiency DEA model of inputs-oriented with non-decreasing returns to scale (NDRS). The results obtained in the statistical analysis were corroborated using this technique, its application combined with statistical tools represents an innovation for knowledge in manufacturing processes of electrical conductors. Input data were obtained at a manufacturer of electrical conductors supplier of the automotive sector in the Querétaro City of Mexico.

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Section: Discussionsupporting

confidence: 62%

Section: Results 23-awg Production Processmentioning

confidence: 99%

Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors

Zamora-Antuñano

Cruz-Salinas²,

Rodríguez‐Reséndiz

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

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“…In Gouveia et al, 31 the formability of aluminium tubes and the effects of the process parameters using numerical simulations were investigated. The numerical models were also used to study the effects of several configurations (expansion method, alloy, pipe loading) on the mechanical properties of the steel subjected to tubular expansion, as proposed by Mack, 32 or to investigate the effect of the process parameters, as proposed by Avalle et al 2,33 and Han et al, 34 who used the expansion force rate to define the amount of adhesion in the tube’s inner grooves.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the mechanical expansion process of thin-walled tubes for air heat-exchanger production

Scattina

Avalle

2022

Proceedings of the Institution of Mechanical Engineers, Part B:

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Finned tube air heat-exchangers are built by joining the tubes to the fins by various techniques. A technique mostly used for large heat-exchangers consists of fitting the tubes into the holes of the fins by expanding the tubes using a mechanical process. The expansion is achieved by inserting an ogive of a larger diameter into the tube. The intimate contact of tubes and fins due to the press fitting ensures the proper thermal connection. This work tries to describe an experimental-numerical procedure useful to study and predict the mechanical process and the process parameters. The procedure, based on material properties obtained from tensile tests and the use of the inverse method to identify the material parameters, is based on bi-dimensional finite element (FE) models used to simulate the expansion process. The FE model is then used for process optimisation regarding such parameters as the ogive shape and ogive sizes, friction coefficient and speed of insertion of the ogive into the tube. Indeed, size and shape uncertainties strongly influence the process parameters and the process quality, as well as the heat-exchanger efficiency. The use of numerical models was proven highly effective in predicting and optimising the process by quickly analysing the influencing factors and optimising the production.

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Assessment of the Design for Manufacturability Using Fuzzy Logic

2020

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The study proposes a procedure for assessing the designed manufacturing process for a new products. The purpose of the developed procedure is to evaluate the production process from the point of view of product design manufacturability of a unit and the small-lot production process. Evaluation of the design for the production process of a new product is based on criteria like process performance efficiency. Fuzzy logic-based methods were used to assess the designed process at different stages of its implementation—processing, assembly and organization of production. The developed method was illustrated by an example. The method presented in the study may be used by designers of production processes and employees of companies involved in the rationalization of already implemented production processes. The proposed method applies specifically to small-lot and unit production.

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The Role of the Process and Design Variables in Improving the Performance of Heat Exchanger Tube Expansion

Cited by 4 publications

References 17 publications

Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors

Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors

Analysis of the mechanical expansion process of thin-walled tubes for air heat-exchanger production

Assessment of the Design for Manufacturability Using Fuzzy Logic

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