Evidence map›Paper›PMID 41233416›Full record

ArticleScientific reports2025

Optimization of selective catalytic reduction for nox emission control: an experimental and CFD analysis of mixer designs.

Swetha Bandaru, Jayaprabakar Jayaraman, K Vijetha, Ashish Kumar, G Hariharan, Man Mohan, Abhishek Sharma, Hemant Raj Singh

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Swetha BandaruDepartment of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, 600119, Tamil Nadu, India.
Jayaprabakar JayaramanDepartment of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, 600119, Tamil Nadu, India.
K VijethaDepartment of Mechanical Engineering, Aditya University, Surampalem, 533437, Andhra Pradesh, India.
Ashish KumarDepartment of Mechanical Engineering, Sitamarhi Institute of Technology, Sitamarhi, Bihar, 843302, India.
G HariharanDepartment of Mechanical Engineering, University College of Engineering, Panruti, 607106, Tamil Nadu, India.
Man MohanDepartment of Mechanical Engineering, Rungta International Skills University, Bhilai, 490024, India.
Abhishek SharmaDepartment of Mechanical Engineering, Government Engineering College Palamu (Department of Higher and Technical Education, Govt. of Jharkhand), Medininagar, 822118, Jharkhand, India. drasharma58@gmail.com.
Hemant Raj SinghDepartment of Mechanical Engineering, Manipal University Jaipur, Jaipur, 303007, Rajasthan, India. hemant.singh@jaipur.manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on optimizing the selective catalytic reduction (SCR) system to reduce urea deposits and enhance overall system performance. Both computational fluid dynamics (CFD) simulations and experimental analyses were conducted to evaluate an S-bend inlet SCR design and an improved configuration featuring multiple mixer setups. The enhanced design demonstrated superior performance, with the flap mixer reducing the accretion rate to 3.6 × 10⁻⁴ kg/m²s, representing a 60.9% reduction in urea deposition at an injection rate of 41.9 mg/s under acceleration conditions, compared to the no-mixer SCR setup. Furthermore, the thickness of the urea deposit was substantially reduced, with experimental measurements showing a decrease from 5.6 × 10⁻⁴ microns (no-mixer SCR setup) to 2.6 × 10⁻³ microns (flap mixer), marking a 53.6% reduction. The experimental and CFD results exhibited strong agreement, with deviations of 8% for the accretion rate and 7-9% for urea deposit thickness, reinforcing the reliability of the simulation model. The close alignment between experimental and numerical findings highlights the effectiveness of the optimized mixer in promoting uniform droplet breakup and reducing localized deposition. The implementation of optimized mixer geometries improved overall system performance, facilitated compliance with stringent emission regulations, and mitigated operational complexities related to urea accumulation. This study supports the ability of current SCR systems to meet future NOx emission limitations at reduced cost.

Indexed as

Accretion managementMixer design enhancementNitrogen oxide mitigationReagent distribution optimizationSelective catalytic reductionUrea deposition minimization

Identifiers

PMID41233416
PMCPMC12615604

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