A solenoid injector based drop-on-demand system for generating large droplets

Name: A solenoid injector based drop-on-demand system for generating large droplets
Author: Coşar, Veli Can, Şen, Onur, Ertunç, Özgür, Qureshi, Muhammad Sarmad, Bebek, Özkan

İsim	A solenoid injector based drop-on-demand system for generating large droplets
Yazar	Coşar, Veli Can, Şen, Onur, Ertunç, Özgür, Qureshi, Muhammad Sarmad, Bebek, Özkan
Basım Tarihi:	2023-09-01
Basım Yeri	- American Institute of Physics Inc.
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0034-6748
Kayıt Numarası	e7d664ef-d741-494e-a180-efcaeb652e7a
Lokasyon	Mechanical Engineering
Tarih	2023-09-01
Notlar	TÜBİTAK
Örnek Metin	This paper proposes a drop-on-demand (DOD) system that can produce single droplets of highly repeatable size in the order of 2 mm. This system utilizes an on-the-shelf solenoid injector used in automotive applications. The design methodology is explained along with the necessary measurements and numerical simulations of droplet generation. The invention consists of a solenoid injector that produces monodisperse single or in-series droplets with the help of a developed pulse width modulated signal generator. Mass per injection is measured over a range of supply pressures and injection durations to find the operation window to generate 2 mm droplets. Later, various nozzle geometries are designed and tested by flow simulations. The contracting nozzle is found suitable for generating single droplets, so the design is implemented at the tip of the solenoid injector. The effects of different opening times, pressures, and nozzle’s orifice diameters were tested to observe the operating window of the newly designed DOD system and the repeatability of generated droplets by utilizing a coherent circular Hough transform image processing algorithm to measure droplet sizes. The standard deviation of measured diameters is less than 5% of the mean droplet diameter, which is in the range of 1.68-2.07 mm. Next, the voltage and current signals are measured per injection, and exact instants for the initiation and ending for both opening and closing are determined to construct transient mass flow rate functions for flow simulations in which the dependence of droplet formation on the speed of closing is revealed. The numerical and experimental results indicate the repeatability and consistency of the invention.
DOI	10.1063/5.0148517
Cilt	94

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A solenoid injector based drop-on-demand system for generating large droplets

Yazar Coşar, Veli Can, Şen, Onur, Ertunç, Özgür, Qureshi, Muhammad Sarmad, Bebek, Özkan

Basım Tarihi 2023-09-01

Basım Yeri - American Institute of Physics Inc.

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0034-6748

Kayıt Numarası e7d664ef-d741-494e-a180-efcaeb652e7a

Lokasyon Mechanical Engineering

Tarih 2023-09-01

Notlar TÜBİTAK

Örnek Metin This paper proposes a drop-on-demand (DOD) system that can produce single droplets of highly repeatable size in the order of 2 mm. This system utilizes an on-the-shelf solenoid injector used in automotive applications. The design methodology is explained along with the necessary measurements and numerical simulations of droplet generation. The invention consists of a solenoid injector that produces monodisperse single or in-series droplets with the help of a developed pulse width modulated signal generator. Mass per injection is measured over a range of supply pressures and injection durations to find the operation window to generate 2 mm droplets. Later, various nozzle geometries are designed and tested by flow simulations. The contracting nozzle is found suitable for generating single droplets, so the design is implemented at the tip of the solenoid injector. The effects of different opening times, pressures, and nozzle’s orifice diameters were tested to observe the operating window of the newly designed DOD system and the repeatability of generated droplets by utilizing a coherent circular Hough transform image processing algorithm to measure droplet sizes. The standard deviation of measured diameters is less than 5% of the mean droplet diameter, which is in the range of 1.68-2.07 mm. Next, the voltage and current signals are measured per injection, and exact instants for the initiation and ending for both opening and closing are determined to construct transient mass flow rate functions for flow simulations in which the dependence of droplet formation on the speed of closing is revealed. The numerical and experimental results indicate the repeatability and consistency of the invention.

DOI 10.1063/5.0148517

Cilt 94