Process Integration Research Articles

IGZO TFT Backplane Integration for µLED Flat-Panel Display

The focus of this work is the process integration of Indium Gallium Zinc Oxide (IGZO) transistors as a µLED backplane for row/column addressing. A single pixel is composed of a µLED driven by an arrangement of two transistors and a storage capacitor. The pixels are then arrayed on a glass substrate to support active-matrix control of monochrome and full color (RGB) displays from 1x1cm (50 x 50 pixels) up to 7.6 x 7.6 cm (380 x 380 pixels). Optimization of circuit parameters considering size and scan frequency was modeled using existing TFT and µLED electrical device compact models. New process parameters and procedures were determined for the proper integration of µLEDs in an existing TFT fabrication process. Red, green, and blue µLED devices were fabricated at Tyndall National Institute on native substrates and were transferred to TFT pixels using an X-Display MTP-1003 micro-transfer printer. The performance of individual test cells was assessed using an Agilent B1500, revealing a voltage transfer characteristic indicating the ability to modulate and control µLED current.

(Invited) Advancing Si Spin Qubit Research: Process Integration of Hall Bar FETs on Si/SiGe in a 200mm BiCMOS Pilot Line

Hall bar-shaped field-effect transistors (HB-FETs) are excellent devices for comprehensive, large-scale testing of Si/SiGe heterostructures in spin qubit applications. In this paper, we detail the process integration of high-quality HB-FETs onto Si/SiGe heterostructures within the IHP 200 mm BiCMOS pilot line. We compare various SiO2 deposition techniques to identify the most suitable process for a low thermal budget gate dielectric. The integration of HB-FETs on Si/SiGe heterostructures is discussed with a focus on the contact implant. We demonstrate the functionality of the devices at room temperature and at cryogenic temperatures. Magnetotransport measurements reveal a maximum electron mobility exceeding 300,000 cm²/Vs at 1.5 K.

Labor markets during COVID-19: gaps and challenges in Latin America.

The effects of the COVID-19 pandemic on Latin American labor markets continue to be quantified, to identify the social and economic impacts that this pandemic had, and to design more efficient public policies that would protect the most vulnerable groups. For this reason, the research question was as follows: what were the changes in the labor formality rates before and two years after the main contingency measures of the COVID-19 pandemic were implemented? Using data from Argentina, Bolivia, Chile, Colombia, Ecuador, Guatemala, Mexico, Peru, and Uruguay, the formality rate (τ) was analyzed, which was calculated using a weighted average between the formal employment rates of the number (i) of economic sectors (p) in a specific period (t). The results suggest that the weighted labor formality rate increased in the countries of the region. These changes in formality could be the result of greater capital accumulation, the integration of productive processes, the integration of commercialization processes, and differentiated fiscal stimuli (i.e., the intrasectoral aspect), but it was not due to the displacement of workers from highly informal economic sectors to more formalized sectors (i.e., the intersectoral component). The findings emphasized the precarious situation of women in the region, regardless of the country, particularly in Ecuador, Peru, Bolivia, and Argentina. These findings suggest the need to design public policies that reverse the current situation of the labor market and prevent future economic shocks, with special emphasis on the informal sector and women.

Transformation and Integration of Agricultural Processes and Systems into the Natural Resource Cycle

Transformation and Integration of Agricultural Processes and Systems into the Natural Resource Cycle

Analyzing knowledge integration in convergence research

A pragmatic concern guides this perspective piece: How might researchers charged with leading convergence research better plan, design, implement, and evaluate the integrative processes and products of their research? We use a self-evaluation approach to assess the integrative processes and products of the first two years of a five-year National Science Foundation Growing Convergence Research project on addressing inland freshwater salinization. To examine the linkages between integration approaches and products, we analyzed the integrative qualities of fifteen research products and the collaborative processes used to generate these products. We found that large, heterogeneous teams with a broad mix of disciplines and professional expertise produced more interdisciplinary research products, but they relied on skilled integration by the leader, more intensive forms of collaboration, and inclusive problem framing. Teams that relied on deliberation by experts and used more consultative or cooperative mechanisms for engagement produced research that was more uni- or multi-disciplinary. We consider the efficacy of the various knowledge integration approaches used in this research and share empirically derived recommendations for designing, implementing, and evaluating convergence research. Our findings and lessons provide researchers at the helm of large-scale convergence and transdisciplinary research projects that address complex socio-environmental problems guidance on: (1) the planning and designing of projects with the explicit goal of knowledge integration; (2) the selection and implementation of appropriate knowledge integration approaches and tools; and (3) how knowledge integration can be conceptualized and evaluated for socio-environmental problems.

Integration Projects and Institutional Matrices

In this paper, an attempt is made to understand the reasons for the formation of a particular order in a region based on the institutional approach. The connection between regional order and regional regulation with the type of institutional matrices of integrating countries is shown. It is established that when integrating social systems in order to mitigate possible institutional imbalances, institutions complementary to those dominant in the institutional matrix are used: when integrating X-matrix countries – market institutions and vice versa. The factors blocking regionalism in integration projects involving countries with institutional matrices of the same type include: the presence of one clearly expressed hegemon and its support of supranational regulatory bodies, the presence of federal rather than unitary states in the region. It has been established that for countries with different types of institutional matrix, convergence is possible (for example, cooperation in the security sphere, participation in the Free Trade Zone), but integration in this case will be limited to only certain areas that are of exceptional importance for social systems, with the prevalence of regionalization processes (integration “from below” without the creation of any significant and effective supranational bodies). Factors that hinder the development of both regionalism and regionalization are increasing political differences between countries, polarization along religious lines, manifestations of nationalism and racism.

Space–time topology optimization for anisotropic materials in wire and arc additive manufacturing

Wire and Arc Additive Manufacturing (WAAM) has great potential for efficiently producing large metallic components. However, like other additive manufacturing techniques, materials processed by WAAM exhibit anisotropic properties. Assuming isotropic material properties in design optimization thus leads to less efficient material utilization. Instead of viewing WAAM-induced material anisotropy as a limitation, we consider it an opportunity to improve structural performance. This requires the integration of process planning into structural design. In this paper, we propose a novel method to utilize material anisotropy to enhance the performance of structures both during fabrication and in their use. Our approach is based on space–time topology optimization, which simultaneously optimizes the structural layout and the fabrication sequence. To model material anisotropy in space–time topology optimization, we derive the material deposition direction from the gradient of the pseudo-time field, which encodes the fabrication sequence. Numerical results demonstrate that leveraging material anisotropy effectively improves the performance of intermediate structures during fabrication as well as the overall structure.

Design and Technological Aspects of Integrating Multi-Blade Machining and Surface Hardening on a Single Machine Base

Modern mechanical engineering faces high competition in global markets, which requires manufacturers of process equipment to significantly reduce production costs while ensuring high product quality and maximum productivity. Metalworking occupies a significant part of industrial production and consumes a significant share of the world’s energy and natural resources. Improving the technology of manufacturing parts with an emphasis on more efficient use of metalworking machines is necessary to maintain the competitiveness of the domestic machine tool industry. Hybrid metalworking systems based on the principles of multi-purpose integration eliminate the disadvantages of monotechnologies and increase efficiency by reducing time losses and intermediate operations. The purpose of this work is to develop and implement a hybrid machine tool system and an appropriate combined technology for manufacturing machine parts. Theory and methods. Studies of the possible structural composition and layout of hybrid equipment at integration of mechanical and surface-thermal processes were carried out, taking into account the basic provisions of structural synthesis and componentization of metalworking systems. Theoretical studies were carried out using the basic provisions of system analysis, geometric theory of surface formation, design of metalworking machines, methods of finite elements, and mathematical and computer modeling. The mathematical modeling of thermal fields and structural-phase transformations during HEH HFC was carried out in ANSYS (version 19.1) and SYSWELD (version 2010) software packages using numerical methods of solving differential equations of unsteady heat conduction (Fourier equation), carbon diffusion (2nd Fick’s law) and elastic–plastic behavior of the material. The verification of the modeling results was carried out using in situ experiments employing the following: optical and scanning microscopy; and mechanical and X-ray methods of residual stress determination. Formtracer SV-C4500 profilograph profilometer was used in the study for simultaneous measurement of shape deviations and surface roughness. Surface topography was assessed using a Walter UHL VMM 150 V instrumental microscope. The microhardness of the hardened surface layer of the parts was evaluated on a Wolpert Group 402MVD. Results and discussion. The original methodology of structural and kinematic analysis for pre-design studies of hybrid metalworking equipment is presented. Methodological recommendations for the modernization of multi-purpose metal-cutting machine tool are developed, the implementation of which will make it possible to implement high-energy heating with high-frequency currents (HEH HFC) on a standard machine tool system and provide the formation of knowledge-intensive technological equipment with extended functionality. The innovative moment of this work is the development of hybrid metalworking equipment with numerical control and writing a unique postprocessor to it, which allows to realize all functional possibilities of this machine system and the technology of combined processing as a whole. Special tooling and tools providing all the necessary requirements for the process of surface hardening of HEH HFC were designed and manufactured. The conducted complex of works and approbation of the technology of integrated processing in real conditions in comparison with traditional methods of construction of technological process of parts manufacturing allowed to obtain the following results: increase in the productivity of processing by 1.9 times; exclusion of possibility of scrap occurrence at finishing grinding; reduction in auxiliary and preparatory-tasking time; and reduction in inter-operational parts backlogs.

Models and P4R asset description for digital twin-based advanced planning and scheduling using cyber-physical integration for resilient production operation

Advanced planning and scheduling (APS) addresses the complex and uncertain nature of production control. A digital twin (DT), which incorporates simulations through cyber-physical integration, provides an advanced functionality for APS. To facilitate efficient design and implementation, a DT-based APS must satisfy three requirements: technical functionalities for resilience, robust models for diverse operational constraints, and efficient interoperability through cyber-physical integration. Although several studies have proposed the use of DT as a primary technology for APS, proposals that address the process, functionality, integration, and information models are lacking. Additionally, the existing asset descriptions cannot adequately capture the sophisticated characteristics of DT and necessary informational elements for APS. Thus, this study designed a process model, functionalities, and integration models for the DT-based APS and asset descriptions for snapshot synchronization. Crucial service-compositions and functionalities were defined using work-center-level lifecycles. Consequently, a process model was developed, which focused on core activities for resilience. Moreover, horizontal integration between DT and control functionalities and vertical integration between DT and standards, were proposed to enhance the DT-based APS. The proposed method effectively managed the product, process, plan, plant, and resource classes by ensuring adherence to asset administration shell principles. To validate the effectiveness of the proposed methods, two work centers with distinctly different characteristics were employed and demonstrated dominant preventive measures compared to static functionality-based methods. The primary contributions encompass the facilitation of integration and interoperability within a DT-based APS. The proposed methods support the advanced characteristics of DT, ensuring robustness and neutrality across heterogeneous operational contexts.

Abstract B076: Morphological diversity predicts functional traits in pancreatic cancer

Abstract Cell morphologies represent a phenotypic integration of intrinsic cellular processes, changes in cell state, and interactions with neighboring cells. While analyses of large cell line collections such as the Cancer Dependency Map (DepMap) have greatly enhanced discovery of novel molecular biomarkers and therapeutic targets, morphological analysis of these models has not yet been performed. Hence, there is a rich opportunity to discover novel regulators and functional properties of cell morphologies by linking image-based profiling to -omics based assays. Here, we studied the transcriptional and functional properties of 16 human pancreatic cancer cell lines, associations with distinct cell morphologies, and treatment-induced remodeling. At baseline, we observed extensive morphological heterogeneity across and within cell lines, as well as differences in multicellular organization. We categorized cell line morphologies into epithelial, mesenchymal, and spheroid, and organizational patterns into tightly aggregated, multilayered, and dispersed. We performed differential expression analysis across morphological subtypes utilizing DepMap transcriptomics data and queried functional correlates including CRISPR dependency, drug sensitivity, and proclivity for metastasis. For example, we discovered that the mesenchymal morphology and multilayered organizational pattern [WH3] were associated with metastatic potential, while expressing reduced levels of tight junction and cell adhesion genes. We then explored treatment associated morphological changes and their potential as cost-effective biomarkers for cell-intrinsic resistance to chemotherapy (e.g., 5-FU and gemcitabine) and KRAS inhibitors (e.g., MRTX1133 and RMC- 6236). Cells were treated continuously and monitored with live cell imaging (Incucyte SX5) followed by Cell Painting at the three-day endpoint. We observed conserved morphological responses to therapy across cell lines including a shift towards spindle-like cell shapes with neurite-like projections in chemotherapy-treated conditions, and a cell bloating phenomena characterized by an increase in cell area in KRAS inhibitor treated conditions. To directly link transcriptional state to morphology, we performed 1000-plex spatial molecular imaging (Nanostring CosMx) at subcellular resolution to pools of cell lines, demonstrating that morphological diversity within cell lines corresponded to distinct transcriptional states. In conclusion, this study highlights the potential of harnessing cell morphological information in a rapid, cost-effective phenotyping assay to aid precision oncology efforts leveraging patient- derived in vitro models. Citation Format: Dennis Gong, William L Hwang. Morphological diversity predicts functional traits in pancreatic cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr B076.

Biohydrogen Produced via Dark Fermentation: A Review

Hydrogen (H2) is a highly efficient and clean energy source with the potential for renewable energy. The production of H2 from biological routes such as biophotolysis, photofermentation, dark fermentation, and bioelectrochemical production is characterized as a renewable alternative to current production, which is mainly based on energy-intensive electrochemical and thermochemical processes and responsible for the emission of high amounts of environmentally harmful compounds. Dark fermentation is the most efficient and cost-effective method for producing biohydrogen, making it a key research focus. This article offers a comprehensive overview of the dark fermentation process with the aim of enhancing hydrogen productivity and yields. Aspects related to the main substrates used, the inoculum sources and their pretreatment, and physical-chemical parameters of the process are covered. Furthermore, this manuscript addresses topics such as process integration, genetic and metabolic engineering of fermentative microorganisms, and the main types of bioreactors aimed at greater yields and productivity of biohydrogen to enable its production through dark fermentation on a larger scale.

Kapabilitas Dinamik Pada Akselerasi Produksi Precast Girder Tipe- U pada Proyek LRT Jabodebek

LRT Jabodebek as the first LRT infrastructure project in Indonesia has provided lessons on the implementation of dynamic capabilities on manufacturing aspects for the construction industry. In order to meet the requirements 2900 units of U-Shape Girder, production under normal conditions is expected to be completed by 2020. The acceleration of completion led to a significant increase in project requirements, accelerated completion of construction led to production shortages. Meeting the need for acceleration requires factories to be able to increase their production capacity by using steam curing methods. This case study uses a qualitative approach and focuses on dynamic capabilities in the production process. As a role model of application of manufacturing dynamic capability, the project has demonstrated the role of technology in increasing productivity. The integration of methods, asset positioning, and management processes are the most dominant productivity factors in accelerating the production of U-Shape precast girder. Optimum production performance can be achieved by integrating factory roles, project sites and management supported by adequate resources and staff experience

Smart Safety Design for Evacuation Signs in Large Space Buildings Based on Height Setting and Visual Range of Evacuation Signs

In case of emergency, evacuation signs play an important role in guiding people to evacuate safety exits in large space buildings. Large space buildings are characterized by high ceilings and large areas. In the existing legislation and standards, the height setting of evacuation signs is fixed, but the influence of height changes on the visibility of evacuation signs is very important. This study fully considers the relationship between the height setting change of evacuation signs and the visual range and puts forward a smart safety design strategy for evacuation signs. The smart safety design consists of two parts, one is the mathematical relationship between the height change of evacuation signs and the visual range of personnel, and the other is the integration of the application process of smart devices. Firstly, the visual range of two different sizes of evacuation signs placed at the height of 1.7 to 6 m was measured experimentally in China. The results showed that: (1) with an increase in the height of the evacuation signs, their viewing distance gradually decreased and the visual range was reduced; (2) the mathematical model of the change between the height and the visual range of evacuation signs was established; (3) the height of evacuation signs between 3 to 5 m agreed more with the visual habits of the people. Then, on this basis, the smart safety design method can use related mathematical models to set the evacuation signs at the optimal height based on the actual distance between people and evacuation signs, ensuring that people can see the signs the first time, thus providing evacuation guidance for evacuees and improving the safety of large space buildings.

Redressing discrimination in Canadian nursing programs: Student perspectives

Aim /objectiveTo identify strategies nursing students recommend for responding to discrimination in their program. BackgroundThe nursing discipline is rooted in social justice, which is increasingly positioned as practices that seek to enhance equity in health and healthcare. Yet, a growing body of knowledge indicates nursing students experience discrimination by virtue of race, sexual identity, gender identity, ability and mental health in nursing programs. There is a dearth of information that speaks to redressing discrimination in nursing schools, particularly from the perspectives of nursing students. DesignThis study reports on the findings of the qualitative portion of a mixed-methods project. MethodsData were collected via qualitative interviews (n=20) conducted on the Zoom platform. Inclusion criteria included any nursing graduate or undergraduate student enrolled in two institutions in Western Canada. Analysis was guided by a combination of thematic analysis with interpretive description to facilitate the identification of broader themes within the context of relevant disciplinary considerations. ResultsThree key themes that represent nursing student perspectives to redress discrimination in their programs were identified: (1) strategies to redress discrimination at the level of the educator/curriculum, (2) strategies to redress discrimination at the structural level and, (3) strategies to support students who have experienced discrimination. ConclusionsSystematic curriculum updates and educator supports to ensure up-to date knowledge and appropriate educator approaches are needed in classroom and clinical settings. The integration of equity-seeking processes at higher levels, e.g. for example, nursing standards of practice, was identified as essential to redress discrimination in education as well in everyday nursing practice. Lastly, a clearly defined reporting pathway was suggested to support students who have been subject to discrimination. Given this is one of the first investigations into student perspectives on redressing discrimination in nursing schools, additional research is needed to evoke meaningful change.

Self-learning and autonomously adapting manufacturing equipment for the circular factory

Abstract The integration of both linear and circular processes in one production system poses significant challenges. In particular, the reprocessing of end-of-life products is associated with uncertainties at all levels of the production system, from the initial planning and control through to the executing production hardware and intralogistics. To address these challenges, this article presents approaches for self-learning and autonomously adapting production equipment for the Circular Factory. Initially, hardware and software solutions are developed to cover the necessary processes. Reprocessing is covered by modular and reconfigurable manufacturing cells, which also include new process chains such as the combination of additive-subtractive processes. The provided capabilities must be applied to ever new products, for example by transferring human procedures for unknown products to the production equipment. Lastly, an overall robust and dynamic production planning and control system is developed that maintains continuous operation even in unforeseen situations. The resulting highly dynamic overall system is connected by an autonomous intralogistics system.

Cascading valorization of defatted rice bran for lactic acid fermentation and biogas production

This study investigated the integrated valorization of defatted rice bran (DRB) by converting it into lactic acid (LA) and subsequently utilizing the residues from LA production for biomethane generation through anaerobic digestion (AD). Processing 480 kg of DRB resulted in the production of 70 L of pure LA and generated significant waste streams, primarily consisting of 572 kg of decanted hydrolysate pellet (Pellet DEC) and 220 kg of microfiltration retentate (Retentate MF). Exceptionally high methane yields of 374‒434 LN kgVS-1 were observed for residues from LA fermentation in biochemical methane potential tests, indicating their high potential for biogas production. During long-term semi-continuous AD, varying organic loading rates (OLRs) from 0.5‒2.5 kgVS m-3 d⁻¹ demonstrated feedstock- and OLR-dependent methane production. Reactor failure at higher OLRs was attributed to the accumulation of total ammoniacal nitrogen (TAN). The co-digestion of Pellet DEC and Retentate MF proved to be more resilient, with OLRs up to 2 kgVS m-3 d-1, mitigating TAN inhibition. Methane yields, ranging from 265‒334 LN kgVS-1 before reaching inhibitory OLR levels, were higher than those found in the literature. Process integration has emerged as a promising approach because the biogas generated from residues could effectively offset the energy demands of LA production. Supported by life cycle assessment, the integrated processes showed a 67% lower environmental impact at the midpoint and a 71% lower environmental impact at the endpoint, along with an 80% reduction in energy costs compared to the standalone LA production. Results proved a significant enhancement of the sustainability and economic viability of this integrated biorefinery approach.

Heat-integrated extractive distillation for separating tetrahydrofuran/methanol/water with ionic liquid-based mixed entrainer: Molecular mechanism and process integration

Tetrahydrofuran (THF) and methanol (MeOH) are commonly used raw materials and reagents in the chemical industry, but the azeotropic phenomenon between the two components makes it challenging to achieve high-purity separation. This study separated THF/MeOH/H2O mixtures by heat-integrated extractive distillation using an ionic liquid-based mixed entrainer (ILME). The dimethyl sulfoxide (DMSO) was determined by relative volatility analysis, and IL [EMIM][AC] was screened from 240 ionic liquids according to the COSMOtherm 2021 software. The separation mechanism was investigated at the molecular level (i.e., IGM analysis, polarisation charge density (σ-profile), electrostatic potential (ESP), interaction energy, and quantum chemical theory), which demonstrated that the rationality and strength of the interaction between the entrainer and the separated system were conducive for the separation to proceed. Single DMSO, ILME indirect extractive distillation (IED) and direct extractive distillation (DED) were designed and optimized, and further heat-integrated optimization (HI-DED) was performed on the ILME direct extractive distillation process. The results showed that HI-DED reduced the average annual total energy consumption, energy utilization and CO2 emissions by 23.23%, 26.24% and 26.24%, respectively, compared to the conventional direct extraction distillation process. The HI-DED process using ILME significantly reduces economic, energy consumption and CO2 emissions compared to conventional extractive distillation and has great potential for industrial applications.

Nonprobabilistic time-dependent reliability analysis for uncertain structures under interval process loads

In this paper, a novel nonprobabilistic analysis framework is proposed to evaluate the time-dependent reliability of uncertain structures under time-varying loads. Firstly, a novel uncertainty propagation method is developed by combining interval process integration and surrogate-based interval analysis and the correlation coefficient between responses of adjacent time steps is further analyzed. Subsequently, the nonprobabilistic time-dependent reliability is analyzed base on the first-passage theory and the established interval model. Unlike existing nonprobabilistic methods that consider time-invariant external loads, the proposed method applies an interval process to describe time-varying external loads, thereby offering a broader range of applicability. Compared to existing nonprobabilistic methods that consider time-varying loads, the proposed method establishes a more refined nonprobabilistic time-dependent reliability model based on the first passage theory, achieving higher accuracy. The effectiveness and superiority of the proposed method are validated through a numerical example and an engineering application.

Tailoring solar-assisted calcium looping for polyethylene terephthalate (PET) steam gasification: Combined effect of carbonation and calcination temperatures on process performance

The solar-assisted calcium looping process has gained more and more interest in recent years. It allows both the capture of CO2 and the storage of solar energy during sorbent regeneration, removing the request of auxiliary fuels for heat supply. The effect of carbonation or calcination temperatures on calcium looping performance has been widely studied but mainly based on individual factors. This study investigated the combined effect of carbonation and calcination temperatures on sorbent deactivation and solar energy carrying capacity of a solar-assisted calcium looping process (10 calcination‑carbonation cycles) in a directly irradiated fluidized bed, to obtain the optimized operating temperatures with conceptual reference to the integration with polyethylene terephthalate (PET) steam gasification. The investigated carbonation and calcination temperatures were 600–700 °C and 800–900 °C, respectively, while the inlet CO2 concentration during carbonation was set at 10%v following previous results on PET steam gasification. The experimental results showed that increasing the calcination temperatures promoted the deactivation, while the carbonation temperature had a negligible effect. Fitting parameters of deactivation models were obtained by varying carbonation and calcination temperatures and performed well in process prediction, which broadens the application of these models at different operating temperatures. The best optimized condition of the solar-assisted calcium looping process for maximal averaged carbonation degree and energy carrying capacity was at carbonation temperature of 600 °C and calcination temperature of 800 °C. However, considering hydrogen yield and heat transfer to gasification, the second-best set (carbonation temperature of 650 °C and calcination temperature of 850 °C) would be preferable for the PET steam gasification process. The results of process optimization for all temperature combinations were provided, so that the required condition can be accordingly chosen also for the integration of other processes with solar-assisted calcium looping.

Leveraging an innovative process integration using highly acid-immune blend membranes for enhanced acid recovery and selective salt separation

We investigate the efficiency and advantage of the integrated diffusion dialysis-electrodialysis (DD-ED) system over the DD process for acid recovery with highly acidic wastewater. The investigation uses various acid (HCl/H2SO4) /salt mixtures encompassing iron, copper and aluminium salts (FeCl2, CuCl2, AlCl3, and FeSO4) as simulated feed. The membrane is prepared using blend mixture of polyvinylidene fluoride (PVDF) and polymethyl methacrylate-co-poly chloromethyl styrene copolymer (PMMA-co-PCMSt) solution by non-solvent induced phase inversion on a nonwoven fabric followed by treatment with different tertiary amines. Representative AEM-Q3 membrane prepared by the post modification of blend membrane with a mixture of N, N, N’, N’- tetramethyl diamino hexane (TMDAH) and trimethyl amine (TMA) (1: 1 w/w %) exhibited the best-balanced performance. The membrane recovered a 84.2% AR (%) of acid with 96.28% purity (%) at a flux (JH+) of 7.08 × 10-4 mol cm-2 h-1 from 3 M HCl and 0.2M FeCl2 mixture making it suitable for further studies. A comprehensive comparative study drawn between the DD and integrated DD-ED showed that there was a 2.3 fold increment in acid recovery for the integrated process over the DD process (for the HCl-FeCl2 system). The membranes have also shown good monovalent (Cl-) and bivalent (SO42-) anion selectivity of 7.8. However, the selectivity was further improved to 12.28 by modification of AEM-Q3 membrane, which is double side cast (referred as AEM-Q3/b). The synthetic strategy of the membrane is easy and scalable and has potential for both acid recovery and selective salt separation by ED process.