scholarly journals A Rapid Prototyped Thermal Mass Flowmeter

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5373
Author(s):  
Borut Pečar ◽  
Danilo Vrtačnik ◽  
Matic Pavlin ◽  
Matej Možek
Keyword(s):  
Rapid Prototyping ◽  
Closed Loop ◽  
Thermal Parameters ◽  
Comsol Multiphysics ◽  
Thermal Mass ◽  
Measuring Range ◽  
Heater Temperature ◽  
Mass Flowmeter ◽  
Fully Coupled

An innovative rapid prototyping technique for embedding microcomponents in PDMS replicas was developed and applied on a thermal mass flowmeter for closed loop micropump flowrate control. Crucial flowmeter design and thermal parameters were investigated with a 3-D fully coupled electro-thermal-fluidic model which was built in Comsol Multiphysics 5.2. The flowmeter was characterized for three distinct measuring configurations. For precise low flowrate applications, a sensor-heater-sensor flowmeter configuration with a constant heater temperature was found to be the most appropriate yielding the measuring range of 0 to 90 µL·min-1 and the sensitivity of 1.3 °C·µL−1·min in the lower flowrate range of 0 to 40 µL·min−1.

An Infrastructure to Support Closed Loop Product Development Practice Coupled With Rapid Prototyping

1998 ◽  
Author(s):  
Shuichi Fukuda ◽  
Ping-Yu Jiang
Keyword(s):  
Product Development ◽  
Rapid Prototyping ◽  
Quality Function Deployment ◽  
Closed Loop ◽  
Design Procedure ◽  
Optimal Solution ◽  
Chain Process ◽  
Process Chain ◽  
Rp Process ◽  
Development Practice

Abstract This paper deals with a methodology to use rapid prototyping and tooling to aid the product development practice. Under the support of the distributive activity scheduling mechanism and the unified product data model, a closed loop is described, which consists of design-phase-oriented requirement analysis of RP/RT applications, multi-criterion decision-making mechanism for selecting the combination of materials, RP method, and RP process chain, process planning for rapid prototyping and tooling, data collections from RP manufacturing, design evaluations based on manufactured prototypes, as well as case-based learning from RP process chain. Here, quality function deployment is used for quality control and assurance of such a design closed cycle. Several such closed loops during product design procedure will make the product go to a optimal solution. In addtion, concurrence and competence issues inside a closed loop design evaluation cycle are also discussed. Finally, a conclusion about this methodology is drawn.

The Design of Novel Thermal Gas Mass Flowmeter

2012 ◽  
Vol 224 ◽  
pp. 435-439
Author(s):  
Jun Hao Jiang ◽  
Shao Zhong Cao
Keyword(s):  
Mass Flow ◽  
Simple Structure ◽  
Thermal Mass ◽  
Flow Meter ◽  
The Core ◽  
Mass Flowmeter ◽  
Reasonable Cost ◽  
Overall Performance ◽  
Design Plan ◽  
Mass Flow Sensor

Aiming at the defects of current thermal mass flow sensor, we developed a novel thermal gas mass flowmeter based on the principle of constant power, which consists of semiconductor sensors and a microcontroller as the core controller. The design plan is carried out on the basis of simple structure and reasonable cost, which maximizes accuracy and reliability of the flowmeter. The experimental results verify that the flow meter is running well and achieves the overall performance goals of the plan.

A Flip Chip Package for Thermal Mass Flowmeter

2006 ◽  
Author(s):  
Hui Cao ◽  
Zhiyin Gan ◽  
Xiaobing Luo ◽  
Boling Yu ◽  
Sheng Liu
Keyword(s):  
Flip Chip ◽  
Thermal Mass ◽  
Mass Flowmeter

scholarly journals Pembuatan Prototipe Thermal Mass Flowmeter Tipe Heat Transfer untuk Pengukuran Laju Aliran Massa Udara

2015 ◽  
Vol 6 (1) ◽  
pp. 11
Author(s):  
Ghina A. Nudiani ◽  
Syafri Firmansyah ◽  
Farida I. Muchtadi ◽  
Faqihza Mukhlish
Keyword(s):  
Heat Transfer ◽  
Thermal Mass ◽  
Mass Flowmeter

Fully Coupled Multiphysics Simulation of Enhanced Thermal Conductivity UO2-BeO Fuel Behavior

2015 ◽  
Author(s):  
Rong Liu ◽  
Wenzhong Zhou
Keyword(s):  
Thermal Conductivity ◽  
Fission Product ◽  
Thermal Stresses ◽  
Light Water Reactor ◽  
Fuel Pellet ◽  
Comsol Multiphysics ◽  
Light Water ◽  
Fuel Behavior ◽  
Fully Coupled ◽  
Enhanced Thermal Conductivity

Commercial light water reactor fuel UO2 has a low thermal conductivity that leads to the development of a large temperature gradient across the fuel pellet, limiting the reactor operational performance due to the effects that include thermal stresses causing pellet cladding interaction and the release of fission product gases. This study presents the development of a modeling and simulation for enhanced thermal conductivity UO2-BeO fuel behavior in a light water reactor, using self-defined multiple physics models fully coupled based on the framework of COMSOL Multiphysics. Almost all the related physical models are considered, including heat generation and conduction, species diffusion, thermomechanics (thermal expansion, elastic strain, densification, and fission product swelling strain), grain growth, fission gas production and release, gap heat transfer, mechanical contact, gap/plenum pressure with plenum volume, cladding thermal and irradiation creep and oxidation. All the phenomenal models and materials properties are implemented into COMSOL Multiphysics finite-element platform with a 2D axisymmetric geometry of a fuel pellet and cladding. UO2-BeO high thermal conductivity nuclear fuel would decrease fuel temperatures and facilitate a reduction in pellet cladding interaction from our simulation results through lessening thermal stresses that result in fuel cracking, relocation, and swelling, so that the safety of the reactor would be improved.

A Study on the Closed-Loop Error Feedback Method of the Rapid Prototyping and Manufacturing Integrated System

2011 ◽  
Vol 55-57 ◽  
pp. 2188-2191
Author(s):  
Hong Ling Yuan
Keyword(s):  
Neural Network ◽  
Rapid Prototyping ◽  
Bp Neural Network ◽  
Error Control ◽  
Closed Loop ◽  
Control Method ◽  
Integrated System ◽  
Error Feedback ◽  
Feedback Method ◽  
Rapid Prototyping And Manufacturing

In order to improve the precision of the Rapid Prototyping and Manufacturing Integrated System, the author considers the manufacturing error chain as a closed-loop. According to the feedback method of closed-loop error, the author applies the BP neural network into the error control of the Rapid Prototyping and Manufacturing Integrated System to improve the product precision. And the error control method is applied in production.

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