Electrothermal response optimization of nozzle structure for multi-material rapid prototyping based on fuzzy adaptive control. Issue 6 (2nd February 2022)
- Record Type:
- Journal Article
- Title:
- Electrothermal response optimization of nozzle structure for multi-material rapid prototyping based on fuzzy adaptive control. Issue 6 (2nd February 2022)
- Main Title:
- Electrothermal response optimization of nozzle structure for multi-material rapid prototyping based on fuzzy adaptive control
- Authors:
- Xu, Jinghua
Liu, Kunqian
Liu, Zhi
Zhang, Fuqiang
Zhang, Shuyou
Tan, Jianrong - Abstract:
- Abstract : Purpose: Most rapid prototyping (RP) relies on energy fields to handle materials, among which electricity has been much more utilized, resulting in distinctive responsiveness of non-linear, overshoot, variable inertia, etc. The purpose of this paper is to eliminate the drawbacks of array nozzle clogging, stringing, melt sagging, particularly in multi-material RP, by focusing on the electrothermal response so as to adaptively distribute thermal more accurate, rapid and balanced. Design/methodology/approach: This paper presents an electrothermal response optimization method of nozzle structure for multi-material RP based on fuzzy adaptive control (FAC). The structural, physical and control model are successively logically built. The fractional order electrothermal model is identified by Riemann Liouville fractional differential equation, using the bisection method to approximate the physical model via least square method to minimize residual sum of squares. The FAC is thereafter implemented by defining fuzzy proportion integration differentiation control rules and fuzzy membership functions for fuzzy inference and defuzzification. Findings: The transient thermodynamic and structural statics, as well as flow field analysis, are conducted. The response time, mean temperature difference and thermal deformation can be found using thermal-solid coupling finite element analysis. In physical experimental research, temperature change, together with material extrusionAbstract : Purpose: Most rapid prototyping (RP) relies on energy fields to handle materials, among which electricity has been much more utilized, resulting in distinctive responsiveness of non-linear, overshoot, variable inertia, etc. The purpose of this paper is to eliminate the drawbacks of array nozzle clogging, stringing, melt sagging, particularly in multi-material RP, by focusing on the electrothermal response so as to adaptively distribute thermal more accurate, rapid and balanced. Design/methodology/approach: This paper presents an electrothermal response optimization method of nozzle structure for multi-material RP based on fuzzy adaptive control (FAC). The structural, physical and control model are successively logically built. The fractional order electrothermal model is identified by Riemann Liouville fractional differential equation, using the bisection method to approximate the physical model via least square method to minimize residual sum of squares. The FAC is thereafter implemented by defining fuzzy proportion integration differentiation control rules and fuzzy membership functions for fuzzy inference and defuzzification. Findings: The transient thermodynamic and structural statics, as well as flow field analysis, are conducted. The response time, mean temperature difference and thermal deformation can be found using thermal-solid coupling finite element analysis. In physical experimental research, temperature change, together with material extrusion loading, were measured. Both numerical and physical studies have revealed findings that the electrothermal responsiveness varies with the three-dimensional structure, materials and energy sources, which can be optimized by FAC. Originality/value: The proposed FAC provides an optimization method for extrusion-based multi-material RP between the balance of thermal response and energy efficiency through fulfilling potential of the hardware configuration. The originality may be widely adopted alongside increasing requirements on high quality and high efficiency RP. … (more)
- Is Part Of:
- Rapid prototyping journal. Volume 28:Issue 6(2022)
- Journal:
- Rapid prototyping journal
- Issue:
- Volume 28:Issue 6(2022)
- Issue Display:
- Volume 28, Issue 6 (2022)
- Year:
- 2022
- Volume:
- 28
- Issue:
- 6
- Issue Sort Value:
- 2022-0028-0006-0000
- Page Start:
- 1168
- Page End:
- 1181
- Publication Date:
- 2022-02-02
- Subjects:
- Electrothermal response optimization -- Fuzzy adaptive control (FAC) -- Nozzle structure -- Thermal-solid coupling -- Multi-material rapid prototyping (RP)
Engineering design -- Periodicals
620.004205 - Journal URLs:
- http://www.emeraldinsight.com/journals.htm?issn=1355-2546 ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/RPJ-12-2020-0313 ↗
- Languages:
- English
- ISSNs:
- 1355-2546
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7254.445570
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26964.xml