Qualification Of Components Research Articles

A Review of Modeling, Simulation, and Process Qualification of Additively Manufactured Metal Components via the Laser Powder Bed Fusion Method

Metal additive manufacturing (AM) has grown in recent years to supplement or even replace traditional fabrication methods. Specifically, the laser powder bed fusion (LPBF) process has been used to manufacture components in support of sustainment issues, where obsolete components are hard to procure. While LPBF can be used to solve these issues, much work is still required to fully understand the metal AM technology to determine its usefulness as a reliable manufacturing process. Due to the complex physical mechanisms involved in the multiscale problem of LPBF, repeatability is often difficult to achieve and consequently makes meeting qualification requirements challenging. The purpose of this work is to provide a review of the physics of metal AM at the melt pool and part scales, thermomechanical simulation methods, as well as the available commercial software used for finite element analysis and computational fluid dynamics modeling. In addition, metal AM process qualification frameworks are briefly discussed in the context of the computational basis established in this work.

The healthy eating index may not be an appropriate indicator for assessing dietary quality in breast cancer survivors: results from NHANES 2005-2018.

Evidence on the relationship between the Healthy Eating Index (HEI) and mortality in breast cancer (BC) survivors remains inconclusive. Moreover, rare studies have explored the effect of individual HEI components on survival in this population. This study explored the association between the HEI-2020, including total and 13 component scores, and mortality in BC survivors. This cross-sectional study included data of 481 female BC survivors (representing a 3.3 million population) obtained from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. The HEI-2020 total and component scores (higher scores indicating superior dietary quality) were calculated based on the 24 h dietary recall interview. Data on mortality until December 31, 2019, were obtained from the NHANES Public-Use Linked Mortality File. The weighted Cox proportional hazards models were used to assess the association between HEI-2020 and mortality outcomes. After fully adjusting for confounders, a qualified total HEI-2020 score (≥60) was significantly associated with reduced non-cancer mortality (HR 0.59, 95%CI: 0.35-0.99), but not with all-cause or cancer-specific mortality. Among the 13 HEI components, a lower intake of added sugars (with a qualified component score) was linked to a decreased risk of both all-cause and non-cancer mortality (HR 0.44 and 0.25, 95%CI: 0.25-0.77 and 0.13-0.48, respectively, all p < 0.05). Conversely, higher consumption of seafood and plant proteins (with a qualified component score) correlated with an increased risk of cancer-specific mortality (HR 3.64, 95%CI: 1.57-8.45), and a higher intake of dairy was associated with an elevated risk of both all-cause and non-cancer mortality (HR 2.12 and 2.81, 95%CI: 1.36-3.29 and 1.56-5.07, respectively). Higher total and component scores of the HEI-2020 do not uniformly confer a lower mortality risk for BC survivors. The HEI-2020 may not be an appropriate indicator for post-diagnosis dietary assessment or recommendations for BC survivors.

Outcomes and Conclusions from the 2022 AM Bench Measurements, Challenge Problems, Modeling Submissions, and Conference

The Additive Manufacturing Benchmark Test Series (AM Bench) provides rigorous measurement data for validating additive manufacturing (AM) simulations for a broad range of AM technologies and material systems. AM Bench includes extensive in situ and ex situ measurements, simulation challenges for the AM modeling community, and a corresponding conference series. In 2022, the second round of AM Bench measurements, challenge problems, and conference were completed, focusing primarily upon laser powder bed fusion (LPBF) processing of metals, and both material extrusion processing and vat photopolymerization of polymers. In all, more than 100 people from 10 National Institute of Standards and Technology (NIST) divisions and 21 additional organizations were directly involved in the AM Bench 2022 measurements, data management, and conference organization. The international AM community submitted 138 sets of blind modeling simulations for comparison with the in situ and ex situ measurements, up from 46 submissions for the first round of AM Bench in 2018. Analysis of these submissions provides valuable insight into current AM modeling capabilities. The AM Bench data are permanently archived and freely accessible online. The AM Bench conference also hosted an embedded workshop on qualification and certification of AM materials and components.

Thermal history transfer from complex components to representative test specimens in laser powder bed fusion

Additively manufactured components are characterized by heterogeneous mechanical properties due to variations of the microstructure, flaws and residual stresses resulting from the inhomogeneous fabrication process. The large number of influencing factors poses a further challenge in understanding the correlation between material properties, process parameters and component geometry. Therefore, the qualification of components based on witness specimens produced within the same job is questionable. This work aims to present a new strategy for the characterization of PBF-LB/M components based on representative specimens. The key assumption is the feasibility of a transfer of the thermal history from a component to a specimen. It is assumed that similar material properties are determined for components and specimens produced adopting a similar thermal history. After the definition of a region of interest in the component, a combination of thermal analyses by means of finite elements and in-situ experimental determination of the thermal history through infrared thermography is used to produce test coupons with a similar thermal history. The effectiveness of the procedure is demonstrated on a pressure vessel for applications in the chemical industry.

Practical use of data lake for better fatigue life estimation

The qualification of components in terms of Durability and Reliability is based on the analysis on a lot of sensors, CAN, IIOT data, which needs a data management infrastructure, to understand the customer usage and variability. Such big data infrastructure is often called « data lake », and may lead to storing huge amount of data. This infrastructure must be generic yet test data-oriented to understand the data structure and its analysis required, and to be optimized for such application. All those data may come from connected equipment, instrumented fleets, test lab or proving ground measurements, digital twins and multi-body dynamics simulations. Further, the data must be managed in terms of quality and traceability. It must be indexed to be able to be retrieved through searches (customer, vehicle, measurement site, engine specification, road condition, usage conditions).Once this step is achieved, the product development team is able to have a better understanding of customer usage and inputs variabilities in different environments and conditions, which have to be taken into account in the product's mission profile or duty cycle. This ad-hoc mission profile enables the creation of realistic, meaningful design and test specifications.Understanding the customer usage and input variabilities enables a probabilistic approach to fatigue life prediction. The uncertainties on inputs (geometry, material and loading) may be propagated through the life process, knowing each input's probability distribution function, using a Monte Carlo analysis. The infrastructure enables the life analysis to be done through multiple runs on cloud-oriented server, which enables automation and streamlining the whole process. A use case will be presented to illustrate the approach and its benefits.

Development of RF GD-OES technique for chemical qualification of BWR and PHWR core components

Development of RF GD-OES technique for chemical qualification of BWR and PHWR core components

Self-supervised learning of spatiotemporal thermal signatures in additive manufacturing using reduced order physics models and transformers

Microstructure control via additive manufacturing has enormous potential as manufacturers, materials scientists, and designers alike seek to exploit novel fabrication technologies to improve component performance. Recent works have demonstrated the feasibility of producing materials with controlled microstructures across various length scales. However, the experimental approach towards exploring the process-structure space can be laborious and costly. This is particularly true if also considering scan pattern optimization which is well suited for processes such as powder bed fusion electron beam melting. In this work we propose an approach for encoding additive manufacturing layer-wise thermal response signatures using self-supervised representation learning. Thermal simulations from a reduced order model are utilized to estimate the spatiotemporal response during printing. A machine learning framework, using video-transformers, is utilized to efficiently distill spatiotemporal patterns into a compact latent space representation. This latent state representation encodes the relevant physics which is then utilized to establish a data-driven process-structure model for an additively manufactured Ni-based superalloy. The proposed methodology could potentially be used towards in-situ process monitoring, scan pattern experimental design, and component qualification.

Fatigue strength estimation of net-shape L-PBF Co–Cr–Mo alloy via non-destructive surface measurements

One of the primary challenges in utilizing additive manufacturing for load-bearing metal components in the aerospace industry lies in the relatively low fatigue strength and significant variability stemming from the typically rough as-built surfaces. The goal of this research is to develop a model able to robustly correlate parameters obtained by non-destructive measurements to the fatigue strength of a generic surface state for a cobalt-chrome alloy manufactured via laser powder bed fusion (L-PBF). The results show that a relatively accurate estimation of fatigue strength of a generic surface quality can be performed via high-quality non-destructive roughness measurements coupled with statistical considerations and fracture mechanics-based assessments. This provides the capability of comparing different surface states and selecting the best option for fatigue strength with limited experimental effort and might prospectively set the basis for qualification of L-PBF components in the presence of rough surfaces.

Review of qualification and modeling for radiation-induced polymer degradation

Polymeric materials have multiple potential applications in nuclear power reactors including advanced and small modulus reactors, in addition to their extensive usage in safety electronic cables in the existing light water reactors. Through the qualification programs, knowledge accumulates about the polymer degradation kinetics under gamma-irradiation environment to facilitate the development of service-life predictive models. This paper aims to promote mechanistic-based predictability as a new approach to the qualification of polymeric components. Reviewed in this article are the current qualification standards and procedures, the current understandings of the degradation mechanisms, and kinetic models applicable to accelerated experiments for qualification.

Analysis of the thermal design of a COTS-based modular battery system for satellites by thermal vacuum testing

The qualification of components for satellite applications is a costly process due to the extreme conditions that must be endured in space. Therefore, space market access of battery technology innovations is often inhibited. However, modern battery technologies offer great advantages for satellite applications. In this work, a commercial off-the-shelf (COTS) based and modular lithium-ion battery system for satellites in Low Earth Orbit (LEO) is presented. A comparative analysis to evaluate system parameters and functionality of the proposed battery system and literature data is performed. A thermal vacuum test campaign is carried out to investigate the behaviour under LEO relevant conditions and to achieve qualification of the system performance according to the ECSS (European Cooperation for Space Standardization) standard. The tested system consists of two modules with 28 V nominal voltage and eight battery cells each. Experiments were conducted inside a vacuum chamber. The battery system was charged and discharged in temperatures from 0 °C to 45 °C in a high-vacuum for three weeks. The influence of the battery management electronics, the behaviour of the cells and the heating were analyzed. The cell temperatures stayed in the operating limit during 3.5 A and 10 A cycling. The battery system, however, exceeded the cell’s upper operating limit with a 40 °C baseplate and 3.5 A charging. Despite the dense system architecture with electronics between the cells the battery system can safely deliver power in a broad temperature range. Further investigations regarding safety and failure modes are necessary, along with advancements on software and state estimation algorithms.

High performance simulation of ultrasound inspection of porosity in additive manufactured parts

Due to its versatility, additive manufacturing (AM) holds the potential to revolutionize the manufacturing industry. For aerospace applications however, varying part quality and the ability to manufacture complex AM components, creates new and substantial challenges for nondestructive evaluation (NDE) processes and methods. Inspecting for porosity is a crucial piece of the qualification of AM components and while X-ray computed tomography (CT) has proven to be effective at this task, CT has limits for large-scale application. Ultrasound testing (UT), on the other hand, is an attractive alternative to CT if it can be used to reliably characterize porosity in realistic scenarios. To advance this goal, a data-augmented approach to simulating UT inspections on fabricated titanium alloy (Ti-6Al-4V) fatigue specimens is developed by taking pore statistics that are derived from CT data to seed high-fidelity UT inspections under varying porosity conditions. UT attenuation metrics obtained from this series of simulations were compared to distributions of attenuation, measured from empirical UT scans. Simulated and empirical distributions were in reasonable agreement, serving as a strong indicator for the potential of high performance computing (HPC) NDE simulation for more complex AM components.

Optimization of Milbemycin Component Ratio by Coordinating Acyl-Coenzyme A Supply Pathways in Streptomyces bingchenggensis

Milbemycins are a group of macrolide pesticides with great potential in the agricultural field owing to their high insecticidal activity and environmental compatibility. Milbemycin A3 and A4 with high bioactivities are the main components of milbemycin-derived products, which require a component ratio A4:A3 of 2.3- to 4.0-fold. Streptomyces bingchenggensis BC04 is a promising milbemycin producer, whereas the component ratio of its products (A4:A3 of 9.0-fold) could not meet the requirement for industrial production. To address this issue, we reconstructed the precursor biosynthetic pathways to fine tune the supply of different acyl-coenzyme A precursors required for milbemycin biosynthesis. Based on an analysis of the intracellular acyl-coenzyme A precursors, we reconstructed stepwise heterogeneous biosynthetic pathways of extender units for milbemycin biosynthesis. Then, we coordinated the supply of milbemycin biosynthetic starter units with temporal promoters. Thanks to these manipulations, we obtained an engineered strain with 39.5% milbemycin titer improvement to 3417.88 mg/L and a qualified component ratio A4:A3 of 3.3-fold. This work demonstrated that coordinating the precursor supply is a simple and effective approach to optimize the component ratio of A4:A3 in milbemycin fermentation products. Moreover, this strategy might also be useful to construct high-yield strains with optimized component ratios of fermentation products in other Streptomyces.

Aroma profile of the essential oils from different parts of Pycnocycla aucherana Decne. ex Boiss.

The current study focused on the essential oil concentration and aroma profile in different parts of wild Pycnocycla aucherana Decne from Iran during two years 2017 and 2018. Plant samples of P. aucherana were collected from HajiAbad area located in Hormozgan province, Iran at reproductive stage on June 7, 2017 and 2018. Essential oil isolation was done by hydro-distillation method for 3 hours. For the qualification and quantification of components, gas chromatography/mass spectrometry (GC/MS) was applied. Results showed that the averages of essential oil percentage of shoot and leaf (SL) and seed in the first and second year were (0.13, 0.23%) and (0.4, 0.3%) respectively. The main chemotype was namely -phellandrene (5.96-16%), p-cymene (3.07-27.4%), Limonene (0.72-6.80%), γ-cadinene (0.8-4.33%), Spathulenol (1.90-8.64%), Elemol (0.3-6.69%), b-eudesmol (0.8-9.27), and Bulnesol (0.91-3.40%). The highest amount of -phellandrene (16%) and p-cymene (27.4%) was observed in the seed and (SL) of essential oils in the first year respectively. Elemol and Elemicin content increased during the second year in the seed of essential oils with amount of (6.69 %) and (25.69 %), respectively. Overall, the results showed that the geographic origin greatly influenced the chemical composition of P. aucherana.

The Versatile Loop Facility: A New Infrastructure for Testing Components and Systems of Lead Fast Reactor Technology

There has recently been growing interest in the development of innovative nuclear technologies that offer greater sustainability and cost effectiveness of electricity production. One of the most promising options is the lead fast reactor (LFR) technology. Lead stands out for its favorable neutron properties, allowing a hard neutron spectrum core as well as good shielding, heat transfer, and radioisotope retention capabilities. As lead has a boiling point in excess of 1700°C and does not react exothermically with either air or water, it also allows for the design of a low-pressure reactor block without an intermediate cooling circuit, which is used in other advanced reactor technologies for protecting against the interaction between primary and power conversion system coolants. The deployment of a new fleet of fast reactors is conditional on the control/prevention of the corrosion and erosion effects of the coolant against the structural materials, the systematic characterization of the interaction phenomena between the coolant and fuel and water, and the experimental qualification of innovative systems and components. To support LFR technology development, the UK Department for Business, Energy & Industrial Strategy has recently allocated 10 M£ to a team composed of Westinghouse Electric Company LLC, the Ansaldo Nuclear Group, the Italian National Agency for New Technologies, Energy and Sustainable Economic Development, the University of Manchester, and other organizations for the design, construction, and first operation of a network of eight test infrastructures widespread in the United Kingdom to address the LFR’s highest priority research and development needs. One of the experimental rigs is the Versatile Loop Facility (VLF) currently under construction at the Ansaldo Nuclear Group’s workshop in Wolverhampton, United Kingdom. The plant consists of a lead loop operable up to 650°C and equipped with a 500-kW electric fuel bundle simulator (resembling the Westinghouse LFR bundle) and a hybrid microchannel-type diffusion-bonded heat exchanger (which simulates the primary heat exchanger adopted in the Westinghouse LFR design). The heat removal is delegated to a supercritical water-cooling loop having a design pressure of 330 bar and maximum operating temperatures up to 620°C. In this paper we present the design of the VLF with specific details about its prototypical components and an insight into the construction and installation phases currently underway.

Analysis of teicoplanin impurities by two-dimensional ultra performance liquid chromatography-quadrupole/time-of-flight mass spectrometry

A two-dimensional ultra performance liquid chromatography-quadrupole/time-of-flight mass spectrometry （2D-UPLC-Q/TOF-MS） method was established for the separation and structural analysis of the components in teicoplanin. This method effectively solved the problems associated with chromatographic systems， such as liquid chromatography-mass spectrometry （LC-MS）， which used a non-volatile phosphate buffer as the mobile phase and were not suitable for the rapid identification of impurities. Moreover， this method circumvented the complexities associated with locating and identifying impurities using the original method by re-establishing a chromatographic system suitable for LC-MS. In this study， for one-dimensional （1D） chromatography， the chromatographic separation was performed on an Octadecyl silica （ODS） hypersil column （250 mm×4.6 mm， 5 μm） with gradient elution using 3.0 g/L sodium dihydrogen phosphate buffer （pH 6.0）/acetonitrile=9/1 （v/v） as mobile phase A and 3.0 g/L sodium dihydrogen phosphate buffer （pH 6.0）/acetonitrile=3/7 （v/v） as mobile phase B. The column temperature was maintained at 30 ℃ and an ultraviolet detector was used at 254 nm for analysis. For 2D chromatography， desalting was performed on a Waters ACQUITY UPLC BEH C18 column （50 mm×2.1 mm， 1.7 μm） with gradient elution using ammonium formate buffer （pH 6.0） and acetonitrile as the mobile phases. The column temperature was maintained at 45 ℃. The MS data for the components and impurities were collected by positive ion electrospray ionization （ESI） using the full-information tandem MS mode （MSE）. The cone and nebulizer gas flow rates were set at 50 and 900 L/h， respectively. The ion source and nebulizer gas temperatures were set at 120 ℃ and 500 ℃， respectively. The ESI and cone needle voltages were set at 2500 and 60 V， respectively. The collision energy was set at 20-50 eV. The molecular formulas of the components and impurities were determined using their exact masses and isotope distributions， and the structural components and impurities of teicoplanin were deduced from their fragment ions according to the fragmentation pathway of the TA2-2 component. Moreover， the 10 components reported in the European Pharmacopoeia 10.0 were analyzed and 22 impurities of teicoplanin were identified by 2D-UPLC-Q/TOF-MS. Three new impurities and two characteristic fragment ions of the teicoplanin parent nucleus were detected， and the fragmentation pathway of TA2-2 was deduced. Using this method， 1D-UPLC is applicable for the accurate qualification of components based on relative retention times， and 2D-UPLC-Q/TOF-MS is suitable for the rapid identification of the structure of components based on their fragment ions. The results indicate that 2D-UPLC-Q/TOF-MS may be used to analyze the structure of impurities in teicoplanin based on their exact masses， isotope distributions， and fragment ions. The method is rapid， simple， and sensitive， which provides a novel strategy for the quality control and process optimization of teicoplanin.

Final design of the static magnetic field test facility for the ITER tokamak devices

The electrical equipment operating near the International Thermonuclear Experimental Reactor (ITER) tokamak building will be affected by stray magnetic field up to 200 mT induced by the ITER tokamak coils, so the Static Magnetic Field (SMF) test facility will be built to study and evaluate the electromagnetic compatibility for any type of component qualification used in the ITER tokamak device. This paper describes the final design of the SMF test facility for Equipment Under Test (EUT) of component qualification, including the design of the magnet coil, EUT Handling System (EHS), power supply system, water cooling system and the control and acquisition system. At the same time, great deal of simulations and analyses of the power supply system, magnet coil and EHS system have been presented and discussed in detail. The final overall scheme can meets the requirements of SMF test facility of ITER site under the maximum test magnetic field of 275 mT and the test volume of 1.0 m × 1.0 m × 1.0 m.

Subjective signs disease of venereal infection

The article is devoted to the problem of the criminal law prohibition of infection with venereal diseases. The use of criminal legal means is a necessary and effective tool in the fight against the spread of social diseases. Part 2 and Part 3 of this article provide for the qualified components of the crime - infection with a venereal disease by a person previously convicted of infecting another person with a venereal disease, infection of two or more persons or a minor (Part 2 of Article 133 of the Criminal Code of Ukraine) and infection which caused serious consequences (Part 3 of Article 133 of the Criminal Code of Ukraine).&#x0D; The article presents official statistical data on the level of the specified criminal offenses for the period from 1992 to 2021. It is established that, compared to the 90s and 2000s, the level of these criminal offenses has significantly decreased. If for the period from 1992 to 2011 an average of 36 crimes were registered per year, then for the period from 2013 to 2021, only 10 crimes, provided for by Art. 133 of the Criminal Code of Ukraine.&#x0D; Although there is a certain decrease in the quantitative indicators of the analyzed criminal offense, its social danger is high, since this act encroaches on an important group of social values, in particular, the health of a person.&#x0D; The article examines questions regarding the content of subjective signs of infection with a venereal disease, since establishing their features is of exceptional importance for the correct qualification of the act.&#x0D; Signs of a special subject of venereal disease infection are being investigated. The subject of the crime under consideration is a special one, namely a person who knew about the presence of a venereal disease. Responsibility begins at the age of 16. The fact that a person is aware of his illness can be evidenced by the results of a medical examination, a warning from a medical institution, as well as his own experience and his reference to medical literature.&#x0D; It has been established that the possible subjects of this crime should include not only sick persons, but also bacteria carriers and contact persons (provided that these persons are aware).&#x0D; The idea that direct intent is impossible for this component of the crime is denied. The subjective side of venereal disease infection is characterized by direct and indirect intent, as well as unlawful self-confidence.

Similarity analysis for thermal signature comparison in metal additive manufacturing

Metal additive manufacturing differs from traditional manufacturing processes primarily due to repeated heating and cooling cycles that are inherent to the process. Such cycling leads to different thermal signatures and associated heterogeneities in solidification, solid-state transformation, microstructure, and properties of the printed part. There is, therefore, a need to develop methods to compare thermal signatures in a part with reference to part qualification criteria. In this work, we have developed and demonstrated a similarity analysis procedure to meet this need. Thermal signatures are extracted from in-situ infrared (IR) thermography during a part built using a laser powder bed fusion (l-PBF) machine. Layer-wise variations in thermal signature as a function of part geometry were revealed. Ex-situ microstructure characterization was used to validate the results from similarity analysis. Results and analysis confirmed that our similarity analysis is indeed a useful tool for rapid comparison of thermal signatures, i.e., heterogeneity within the part. Similarity analysis was also useful in identification of anomalous thermal signatures. The analysis method paves the way for deploying in-situ monitoring of AM parts for qualification of AM components.

Criminal consequences of intentional non-compliance with restrictive measures

Domestic criminal law is being in constant dynamics, so it means that the norms of the current legislation are being improved, new, previously unknown, criminal-legal categories are being introduced, recommendations of international institutions are taken into account, etc. Not an exception in this process is chapter XIII-1 of the General part of the Criminal Code of Ukraine, which regulates restrictive measures, as well as Article 390-1 of the Criminal Code of Ukraine, where the legislator provided criminal liability for intentional non-compliance of the measures.&#x0D; This scientific article does not analyze the composition of the criminal offense under Article 390-1 of the Criminal Code of Ukraine, but considers this article in terms of its criminalization.&#x0D; It is proved that the existence within one article of several alternative socially dangerous acts in the form of intentional non-compliance with restrictive measures) provided for in Article 91-1 of the Criminal Code of Ukraine, or intentional non-compliance with restrictive orders, or intentional evasion of the program for offenders, if correct interpretation provided do not contain contradictions.&#x0D; The rules of continued application of criminal law restrictive measures in case of their intentional non-compliance and simultaneous bringing a person to criminal justice under Article 390-1 of the Criminal Code of Ukraine are also derived.&#x0D; Explained the need to single out a socially dangerous act in the form of intentional non-compliance with restrictive measures provided in Article 91-1 of the Criminal Code of Ukraine in a separate part of Article 390-1 of the Criminal Code of Ukraine as a qualified component of this criminal offense, for which the person will bear more serious criminal consequences, which are provided by the sanction of the article. This will not only promote prevention, but also meet the requirements of international regulations.&#x0D; Therefore, in conclusion it is important to emphasize that the regulation of restrictive measures and the establishment of criminal liability for their intentional non-compliance in the Criminal Code of Ukraine is a positive step, but due to the novelty of this legal category there is a need for their partial editing and changes.

Characterization of Radio-Photo-Luminescence (RPL) Dosimeters as Radiation Monitors in the CERN Accelerator Complex

Dosimetry is a crucial activity in irradiation campaigns to qualify electronics and materials to operate in radiation environments. In addition, it also provides means of monitoring radiation levels in accelerator environments to prevent radiation damage to the machines and improve system lifetime. Therefore, this work provides the characterization of radio-photo-luminescence (RPL) glass dosimeters as a high-level radiation monitor to be used in the mixed radiation fields observed in CERN’s accelerator environment as well as in irradiation campaigns for the qualification of electronic components and materials. Here, two methods to improve the measured dose are presented, one for the correction due to the fading of the RPL dosimeters (RPLDs), where an improvement of over 40% of the measured to the expected dose could be achieved, and one method that corrects the measured dose in mixed-particle fields to dose in water or air.