Several sputtering depositions were done by direct current (DC) magnetron sputtering epitaxy (MSE) techniquefor the goal of improving the growth rate and crystalline quality of GaN thin film on Al2O3 substrate. Thegrowth rate was higher when substrate-to-target distance D = 7 cm compared with D = 9.3 cm with eitherfloating or positive bias on the substrate side. The crystalline quality was improved by raising up the growthtemperature from 700◦C to 900◦C, but the quality was declined from 900◦C to 1000◦C due to strong desorption.Gas composition in the metal mode gives better quality due to its sufficient Ga condition with less N2. Positivesubstrate bias boosted the plasma potential and therefore created higher actual sputtering power comparedwith the condition at floating substrate potential. In general, applying a higher power can elevate the growthrate and film quality. However, there has not been an evident difference of both growth rate and film qualitywhen the actual sputtering power is close for floating substrate potential and positive substrate bias.

Additive manufacturing (AM) processes may introduce large residual stresses in the as-built part, in particular the laser powder bed fusion process (L-PBF). The residual stress state is an inherent consequence of the heterogeneous heating and subsequent cooling during the process. L-PBF has become renowned for its “free complexity” and rapid prototyping capabilities. However, it is vital to ensure shape stability after the component is removed from the build plate, which can be problematic due to the residual stress inducing nature of this manufacturing process. Residual stresses can be analyzed via many different characterization routes (e.g. X-ray and neutron diffraction, hole drilling, etc.), both quantitatively and qualitatively. From an industrial perspective, most of these techniques are either prohibitively expensive, complex or too slow to be implementable during the early prototyping stages of AM manufacturing. In this work a deformation based method employing a specific geometry, a so called “keyhole”-geometry, has been investigated to qualitatively evaluate the effect of different stress relief annealing routes with respect to macroscopic part deformation, mechanical properties and microstructure. Previous published work has focused on structures with open geometry, commonly referred to as bridge-like structures where the deformation required for analysis occurs during removal from the build plate. The proposed keyhole-geometry can be removed from the build plate without releasing the residual stresses required for subsequent measurement, which enables bulk manufacturing on single build plates, prior to removal and stress relief annealing.  Two L-PBF manufactured austenitic stainless steel alloys were studied, 316L and 21-6-9. Tensile specimen blanks were manufactured and the subsequent heat treatments were carried out in pairs of keyhole and tensile blank. Both a contact (micrometer measurement), and a non-contact (optical profilometry) method were employed to measure the residual stress induced deformation in the keyholes. The annealing heat treatment matrix was iteratively expanded with input from the deformation analysis to find the lowest temperature at which approximately zero deformation remained after opening the structure via wire electrical discharge machining. The lowest allowable annealing temperature was sought after to minimize strength loss.  After stress relief annealing at 900 ℃ for 1 hour, the 316L keyhole-geometry was considered shape stable. The lateral micrometer measurement yielded a length change of 1 µm, and a radius of 140 m (over the 22 mm top surface) was assigned from curve fitting the top surface height profiles. The complementary microstructural characterization revealed that this temperature corresponded to where the last remains of the cellular sub-grain structures disappears. Tensile testing showed that the specimen subjected to the 900 ℃ heat treatment had a marked reduction in yield stress (YS) compared to that of the as-built: 540 MPa → 402 MPa, whereas ultimate tensile strength (UTS) only reduced slightly: 595 MPa → 570 MPa. The ductility (4D elongation) was found to be ~13 % higher for the specimen heat treated at 900 ℃ than that of the as-built specimen, 76% and 67% respectively.  For alloy 21-6-9 the residual stress induced deformation minimum (zero measurable deformation) was found after stress relief heat treatment at 850 ℃ for 1 hour. Slight changes in the microstructure were observable through light optical microscopy when comparing the different heat treatment temperatures. The characteristic sub-grain features associated with alloy 316L were not verified for alloy 21-6-9. Similar to the results for 316L, UTS was slightly lower for the tensile specimen subjected to the heat treatment temperature required for shape stability (850 ℃) compared to the as-built specimen: 810 MPa → 775 MPa. The measured ductility (4D elongation) was found to be approximately equal for the as-built (47%), and heat treated (48%) specimen. As-built material exhibited a YS of 640 MPa while the heat treated specimen had a YS of 540 MPa. For alloy 21-6-9, the lateral micrometer deformation measurements were compared with stress relaxation testing performed at 600 ℃, 700℃ and 800 ℃. Stress relaxation results were in good agreement with the results from the lateral deformation measurements.  The study showed that for both steel alloys, the keyhole method could be successfully employed to rapidly find a suitable stress relief heat treatment route when shape stability is vital.

Adaptations to a fluctuating market and intensified customer demands for unique products are a challenge for manufacturers. Manual manufacturing is still the most flexible, nevertheless, automation ensures stable quality, minimizes wear and tear of the operators, and contributes to a safer and better working environment as the distance between the operator and the process can be increased and screened off. Hence, the manufacturing industry is searching for human-centric automation solutions that are flexible enough to handle these challenges. Conventional automation is tailored for one or a few similar variants of products, in addition, increased flexibility implies increased complexity to handle. This licentiate thesis demonstrates a flexible Plug &amp; Produce automated manufacturing concept where the complexity is redirected to focus on the products and manufacturing processes by utilizing artificial intelligence. Together with digital threads that connect the product design to automatic manufacturing that enables manufacturing companies to manage new production scenarios with their in-house knowledge. Data is picked directly from the computer-based design of the products and process knowledge that normally exists within the manufacturing company is added through graphical user interfaces. The graphical configuration tools visualize the flow of sequential and parallel manufacturing operations together with process-bound information. Plug &amp; Produce relies on pluggable process modules with re-cyclical manufacturing resources that can be plugged in and out as needed. As an example, a module with a robot can be plugged in to help an existing robot and thereby balance the production capacity. In Plug &amp; Produce resources start working and cooperate with other resources automatically when they are plugged in. To achieve this, the resources are provided with distributed artificial intelligence together with intelligent products that know how to be finalized. In this concept, everything is digitally configurable by the in-house knowledge of the manufacturing companies. A Plug &amp; Produce test bed was built to verify the concept in cooperation with industrial representatives. / Denna licentiatavhandling påvisar ett koncept för att öka flexibiliteten och samtidigt rikta om komplexiteten i automatiserade produktionssystem hos tillverkande företag på ett sätt så att deras interna personal på egen hand kan ställa om tillverkningen mot nya produkter. Anpassningar till marknadens fluktuationer och efterfrågan av nya unika produkter är en ständigt pågående process. Alltmer av produktionen flyttas tillbaka till Sverige och övriga Europa vilket ökar efterfrågan på flexibel och omställbar automation. Automation håller nere prisnivån då arbetskraften är dyr, säkerhetsställer jämn kvalité, minimerar förslitningsskador på de anställda och bidrar till säkrare och trevligare arbetsmiljö då distansen mellan operatör och process kan ökas och avskärmas. Produktion som flyttas till hemmamarknaden från låglöneländer ersätter ofta högflexibel och anpassningsbar manuell tillverkning vilket är en stor utmaning för industrin. Ett Plug &amp; Produce koncept för automatiserad tillverkning utvecklas och beskrivs i denna avhandling där automationen enkelt kan ställas om av den interna personalen och anpassas till nya produkter. Omställning med hjälp egen personal möjliggörs genom att så mycket information som möjligt utvinns från produktens datorbaserade design. Processkunskap som normalt besitts inom det tillverkande företaget adderas därtill med hjälp av grafiska användarinterface som visar flödet av tillverkningsoperationer tillsammans med processpecifika uppgifter såsom mått, bearbetningshastigheter, temperaturer och färg. Plug &amp; Produce system är uppbyggda kring processmoduler med tillverkningsresurser som kan pluggas in och ut efter behov. Till exempel kan en modul med en robot pluggas in för att avlasta befintlig robot och därmed öka produktionshastigheten. Specialdesignade resurser kan pluggas in för att öka effektiviteten och minimera energikonsumtionen. För att den inpluggade processmodulen självmant skall börja jobba och samarbeta med de andra modulerna är den försedd med egen lokal artificiell intelligens. Dessa processmoduler kan tack vare sin intelligens pluggas in i olika Plug &amp; Produce system och är därmed återvinningsbara i nya system. Intelligensen kan vara lokalt placerad i en dator på resursen eller i datormolnet kopplat till resursen. På samma sätt kan produkterna förses med intelligens och kallas då för smarta produkter. Dessa produkter har som mål att bli färdigproducerade genom delmål i form av tillverkningsoperationer. Denna intelligens förses med kunskap och erfarenheter av personalen inom det tillverkande företaget genom användarvänliga interface. När användarvänligheten Plug &amp; Produce testbädd har byggts upp tillsammans med representanter frånprefabricerade trähusindustrin. Tillverkning av prefabricerade trähus är i idag ihög grad manuell då existerande automationslösningar inte är flexibla nog eftersom husen är i hög grad är kundanpassade. Arbetet som beskrivs i denna avhandling gynnar trähusindustrin och därmed klimatet då trä binder kol för en lång tid framåt. / <p>Paper A is not included in the digital licentiate thesis due to copyright . </p>

Under senare år har omfattande insatser gjorts för att främja mer hållbara flygtransporter i Europa. De konventionella tillverkningsmetoderna som används inom flyg- och rymdindustrin kräver betydande mängder råmaterial, vars utvinning, bearbetning och användning har negativa miljöeffekter. Därför finns det ett starkt incitament att utveckla nya, mer material-effektiva tillverkningsmetoder. Additiv tillverkning (AM), även känd som 3D-printining, har fördelen att direkt komma nära den slutliga formen på strukturer genom att lägga till material endast där det behövs, något som minimerar spill och förbättrar materialanvändningen. Dock utgör införandet av AM komponenter i säkerhetskritiska flyg- och rymdtillämpningar en betydande utmaning på grund av komplexiteten hos processerna. Denna komplexitet kan leda till tillverkningsvariationer som i sin tur kan resultera i defekter i de tillverkade strukturerna. Därför är framsteg inom automation genom utvecklingen av lösningar för övervakning och styrning under processens gång ett nödvändigt steg för att uppnå tillräcklig pålitlighet och repeterbarhet. Denna avhandling presenterar en utveckling av multisensorövervakning och styrning av Directed Energy Deposition (DED) med en laservärmekälla (LB). DED-LB är en avancerad teknik som möjliggör tillverkning av storskaliga metallkomponenter nära den slutliga formen. I detta arbete har lösningar undersökts för övervakning av DED-LB med tillsatspulver och tråd. För fallet med tillsatstråd kan denna kompletteras med resistiv förvärmning (så kallad hotwire), vilket ger möjlighet att ytterligare finjustera värmetillförseln och förbättra smältprocessen. För övervakningsändamål undersöktes tre olika in-situtekniker för processens stabilitet och varians. Maskinseende och elektriska givare användes för DED-LB med tillsatstråd (DED-LB/w), medan optisk spektroskopi användes för övervakning både av processen med tillsatspulver (DEDLB/p) samt med tråd. Ett multisensorsystem baserat på de tre teknologierna testades för DED-LB/w. Det kamerabaserade systemet gav tydliga indikationer på avvikelser från nominella processförhållanden. Spännings-och strömgivarnas signaler korrelerade med förändringar i processparametrar och återspeglade tydligt metallöverföringen. Spektrometersystemet indikerade förändringar relaterade till värmeöverföringen. Dessutom möjliggjorde analysen av erhållna spektra en detektering av förluster av viktiga legeringselement under DED-LB/p. Slutsatsen från resultaten understryker behovet av multisensorövervakning, eftersom det inte bara möjliggör detektering och skattning av processförändringar utan även en bättre förståelse av deras grundorsaker. Den presenterade ansatsen är ett viktigt bidrag i utvecklingen av ett framtida robust och feltolerant automatiskt styrsystem. / In recent years, an extensive effort has been made to leap European aviation towards more sustainable transportation. Conventional manufacturing methods used in aerospace industry require significant amounts of raw materials, whose extraction, processing, and utilization have adverse environmental impacts. Thus, there is a strong motivation to develop novel, more material efficient fabrication methods. Additive Manufacturing (AM), also known as 3D-printing, offers the advantage of manufacturing near-net-shape structures by adding material only where it is needed, minimizing waste, and improving material efficiency. However, introducing AM fabricated structures as components in safety-critical aerospace systems poses a significant challenge due to the inherent complexity of AM processes. This complexity can result in variations that may lead to defects or inconsistencies in the fabricated structures. Thus, increasing automation by developing in-process monitoring, and control solutions is the vital step to reach the necessary reliability and repeatability. This thesis presents development towards multi-sensor monitoring and control of Directed Energy Deposition (DED) using a Laser Beam (LB). DED-LB is an advanced technology that allows to manufacture large-scale, near-net-shape metallic parts. In this work, in-process monitoring solutions for DED-LB with feedstock powder and wire were investigated. The set-up of the latter was complemented by resistive pre-heating of the feedstock wire (hot-wire) which provided means of fine-tuning the heat input and improving metal fusion. Formonitoring purposes, three different in-situ techniques were investigated to monitor process stability and variability. Machine vision and electrical sensing were utilized during DED-LB with feedstock wire (DED-LB/w) depositions,while optical emission spectroscopy was used for monitoring processes with feedstock powder (DED-LB/p) as well as wire. A multi-sensorsystem based on the three sensing technologies was tested during DED-LB/w depositions. The vision system gave clear indications of variations from nominal conditions. Voltage and current sensors indications correlated to changes in process parameters and reflected well the metal transfer (liquid bridge) condition.The spectrometer system indicated well changes related to heat input. In addition, analysis of obtained spectra allowed to detect losses of vital alloying element during DED-LB/p. The main conclusion from the results underlines the need for simultaneous multi-sensor monitoring as it allows not only to detect and estimate process changes but also to better interpret their root causes. Such setup will positively enable a future robust, fault tolerant control system. / <p>Paper 3 is under acception but included in this thesis with CC BY-license.</p>

Aluminium applications in automotive will increase by 25 % over the next decade, mainly driven by the electrification and the reduction of fuel consumption. This diploma work aims to increase the understanding of the chemical interactions between aluminium alloys and typical tool systems in metal cutting. First the temperature at the tool-chip interface was estimated by FEM simulations, using the software AdvantEdge. Thereafter the chemical interaction of the tool-chip interface was calculated at the simulated temperature using the Thermo-Calc software. The thermodynamic data and descriptions of the multicomponent systems used where found in the literature, assessed by other authors, but critically reviewed for the use in this work. The results of the FEM simulations indicate that the temperature for machining aluminium with PCD and cemented carbide is between 60-80 % of the melting temperature of Al7wt %Si alloy. The calculations of the chemical interaction in turn results in that several hard precipitates can stick to or transform on the surface of the workpiece or tool-chip interface, for example SiC, Al4C3 and evidently diamond from the tool. This work concluded that more predictive modelling is needed to refine the results and the results from this work needs to be confirmed with experiments. The results show that the modelling can predict the reaction phases at the tool-chip interface, this can be used as input for the tool wear mechanisms during development of tooling solutions. / Aluminium användningen inom fordonsindustrin förväntas öka med 25 % under det närmsta decenniet, främst på grund av elektrifiering men också för att för att minska bränsleförbrukning. Målet med detta examensarbete är till att öka förståelsen för de kemiska interaktionerna mellan aluminiumlegeringar och typiska verktygssystem vid metallskärning, framförallt vid bearbetning av aluminiumlegeringar innehållande kisel med ett TiN-belagt PCD-verktyg och icke-belagda verktyg. Detta gjordes genom prediktiva FEM-simuleringar av temperatur, med hjälp av mjukvaran AdvantEdge. Parallellt med detta skapades databaser för simulering av den kemiska interaktionen mellan skär och bearbetningsmaterial i programvaran Thermo-Calc. De termodynamiska data och beskrivningarna av de termodynamiska system som används var bedömda av andra författare men kritiskt granskade för användning i detta arbete. Resultaten av FEM-simuleringarna gav den beräknade temperaturen för bearbetning av aluminium med PCD ligger någonstans mellan 60-80 % av smälttemperaturen för Al7wt % Si-legering. Beräkningarna av den kemiska interaktionen resulterar i sin tur i att flera hårda utskiljningar kan fastna på eller transformera på ytan mellan arbetsstycket och verktyget, till exempel SiC, Al4C3och diamant från verktyget. Resultaten från detta arbete visar att det går att förutsäga fasomvandlingar mellan skär och arbetsstycket, samt att detta kan användas som indata för skärförslitning under utvecklingen av verktygslösningar.

Electron beam melting (EBM), a metal additive manufacturing (AM) process, has received considerable industrial attention for near net shape manufacture of complex geometries with traditionally difficult-to-machine materials. This has fuelled considerable academic interest in investigating EBM of Alloy 718, a nickel ironbased superalloy possessing an exciting combination of good mechanical behaviour and cost effectiveness. EBM production of Alloy 718 is particularly promising for aerospace and other sectors which value rapid production of components with large scope for design flexibility. The EBM builds are characterized by presence of inevitable defects and, anisotropy within a build is also a concern. Consequently, as-built Alloy 718 has to be subjected to post-build thermal-treatments (post-treatments) to ensure that the parts eventually meet the critical service requirements. Not withstanding the above, limited knowledge is available about optimal post-treatments for EBM-built Alloy 718. Therefore, the main focus of the work presented in this thesis was to systematically investigate the response of EBM-built material to post-treatments, which include hotisostatic pressing (HIPing), solution treatment (ST), and aging. HIPing of EBM-built Alloy 718 led to more than an order of magnitude reduction in defect content, which was reduced from as high as 17% to &lt; 0.2% in samples built with intentionally introduced porosity to investigate limits of defect closure achievable through HIPing. In addition, HIPing also caused complete dissolution of δ and γ" phases present in the as-built condition, with the latter causing dropin hardness of the material. HIPing had no effect on the carbides and inclusions such as TiN, Al2O3 present in the built material. The evolution of microstructure during ST and aging was systematically investigated. Growth of potentially beneficial grain boundary δ phase precipitates was found to cease after a certain duration of ST, with samples subjected to prior-HIPing exhibiting lesser precipitation of the δ phase during ST. While the specimen hardness increased onaging, it was observed to plateau after a duration significantly shorted than the specified ASTM 'standard' aging cycle. Therefore, prima facie there are promising prospects for shortening the overall heat treatment duration. A combination of HIPing, ST, and aging treatments in a single uninterrupted cycle was also explored. Future work involving incorporation of a shortened heat treatment schedule in a combined cycle can have significant industrial implications. / <p>Articles submitted to journals and unpublished manuscripts are not included in this registration</p>

Laser-material interaction of Nickel based superalloy Haynes 282 melt pools were studied for laser parameters similar to laser powder bed fusion (PBF-LB) without powder. The effect of power, speed, hatch distance and laser focus offset were analysed by characterizing different types of melt pool behaviour, including conduction, transition to keyhole, and keyhole mode. Focus offset parameter was found to modify the melting mode from keyhole to conduction type in experiments with and without powder. This change in melting mode is attributed to the variation in laser beam spot size for the same line energy. Such manipulation of type of melting with control of focus offset can be utilized as a method to optimize process parameters for novel materials in the PBF-LB process at high layer thickness. Based on the above study, cubes were built with refined process parameters utilizing powder layer thicknesses of 60- and 90-microns for improved productivity, using partial factorial design of experiment. The conduction mode of melting helped reducing defects, minimizing lack of fusion and keyhole porosity in specimens built with powder at 60- and 90-microns layer thickness. Effect of process parameters and indirect measure like area energy, on the melt pool overlap, defect level and dominant shape of the defects are presented. Optimizing the process parameters to identify the boundaries for building cubes with reduced porosity is also discussed. / Den Ni-baserade superlegeringen, Haynes 282, skannades med laserparametrar liknande de som används i laserpulverbäddfusion (PBF-LB), men utan pulver.Studien undersökte inverkan av effekt, hastighet, avstånd mellan två intilliggandeskanningspass och laserfokusförskjutning, vilket karakteriserades genom olikatyper av beteenden hos smältbadet, inklusive värmeledning, övergång frånvärmeledning till nyckelhål, och nyckelhål. Fokusförskjutningen visade sig ändrasmältbadets läge från nyckelhål till värmeledning. Denna förändring observeradesbåde i experiment utan pulver och i de med pulver. Förändringen beror påbreddningen av laserstrålens punktstorlek samtidigt som samma linjeenergibibehålls. Denna förändring i smältningstyp genom fokusförskjutning kananvändas som en metod för att optimera utforskningen av nya material i PBFLB-processen. Baserat på detta byggdes kuber med pulver med lagertjocklekar på 60 och 90mikrometer, användande olika processparametrar enligt en experimentell designbaserad på en central sammansatt design. Smältning genom värmeledning bidrogtill att minska defekter, minimera bindningsfel och nyckelhålsporositet i proversom byggts med pulver med lagertjocklekar på 60 och 90 mikrometer. Inverkanav processparametrarna och indirekta mått såsom areaenergi på smältbadetsöverlappning, defektnivå och den dominerande formen på defekter presenteras.Optimering av processparametrarna samt identifiering av parameterrymden föratt bygga kuber med minskad porositet undersöks också. / <p>Paper A is to be submitted, and paper C is acceptet and are not included in this licentiate thesis. We do  not have permission to publish paper B in the digital version.</p>

This thesis investigates additive manufacturing as an alternative method for producing casting patterns in sand casting processes. Traditionally, casting patterns are manufactured using CNC milling, which entails long lead times, high manufacturing costs, and negative environmental impacts. Surface finish plays a significant role in casting pattern production and is one of several critical factors in assessing a method's suitability. By examining additive manufacturing, its potential and suitability for casting pattern production can be evaluated. A key aspect of the study is the examination conducted to assess the surface finish of radius and draft angles on casting patterns fabricated through FDM and SLS printing. Surface finish was evaluated by measuring the Sa value using a digital microscope. Achieving high-quality surfaces on casting patterns is crucial for ensuring smooth and uniform sand mold patterns. The investigation resulted in moderately rough surfaces on the radius and draft angles of the casting patterns, with the Sa value varying depending on the casting pattern's layer thickness, angle, and radius. The conclusion of this study is that FDM technology holds potential for casting pattern production but may require optimization to overcome existing challenges. Introducing 3D printing into foundries could lead to a more efficient and sustainable production process while reducing manufacturing costs for casting patterns.

No description available.

Induction hardening is a complex process that requires regular verification of the case depth and the microstructure. Today this verification is done by destructive testing where a cross section is analysed. The case depth is measured by several Vickers hardness impressions and the microstructure is analysed by a light optic microscope. This master thesis was performed in collaboration with Volvo GTO in Skövde, with the target to find out if an ultrasonic backscattering method is usable for analysing the case depths on induction hardened crankshafts. This was done by verifying the results provided by ultrasonic testing with the results provided by destructive testing. The measurements were done on several crankshafts with different case depths and steel composition. The result, for crankshafts with normal case depths, shows a good correlation between the destructive testing (DT) and the ultrasonic testing (UT). The mean value for the discrepancy was 0.39 mm with a standard deviation of 0.20 mm. The reproducibility of the method has a standard deviation of 0.074 mm.