Use of airborne laser scanner data in demanding forest conditions

Most of the applications of airborne laser scanner data to forestry require that the point cloud be normalized, i.e., each point represents height from the ground instead of elevation. To normalize the point cloud, a digital terrain model (DTM), which is derived from the ground returns in the point cloud, is employed. Unfortunately, extracting accurate DTMs from airborne laser scanner data is a challenging task, especially in tropical forests where the canopy is normally very thick (partially closed), leading to a situation in which only a limited number of laser pulses reach the ground. Therefore, robust algorithms for extracting accurate DTMs in low-ground-point-densitysituations are needed in order to realize the full potential of airborne laser scanner data to forestry. The objective of this thesis is to develop algorithms for processing airborne laser scanner data in order to: (1) extract DTMs in demanding forest conditions (complex terrain and low number of ground points) for applications in forestry; (2) estimate canopy base height (CBH) for forest fire behavior modeling; and (3) assess the robustness of LiDAR-based high-resolution biomass estimation models against different field plot designs. Here, the aim is to find out if field plot data gathered by professional foresters can be combined with field plot data gathered by professionally trained community foresters and used in LiDAR-based high-resolution biomass estimation modeling without affecting prediction performance. The question of interest in this case is whether or not the local forest communities can achieve the level technical proficiency required for accurate forest monitoring. The algorithms for extracting DTMs from LiDAR point clouds presented in this thesis address the challenges of extracting DTMs in low-ground-point situations and in complex terrain while the algorithm for CBH estimation addresses the challenge of variations in the distribution of points in the LiDAR point cloud caused by things like variations in tree species and season of data acquisition. These algorithms are adaptive (with respect to point cloud characteristics) and exhibit a high degree of tolerance to variations in the density and distribution of points in the LiDAR point cloud. Results of comparison with existing DTM extraction algorithms showed that DTM extraction algorithms proposed in this thesis performed better with respect to accuracy of estimating tree heights from airborne laser scanner data. On the other hand, the proposed DTM extraction algorithms, being mostly based on trend surface interpolation, can not retain small artifacts in the terrain (e.g., bumps, small hills and depressions). Therefore, the DTMs generated by these algorithms are only suitable for forestry applications where the primary objective is to estimate tree heights from normalized airborne laser scanner data. On the other hand, the algorithm for estimating CBH proposed in this thesis is based on the idea of moving voxel in which gaps (openings in the canopy) which act as fuel breaks are located and their height is estimated. Test results showed a slight improvement in CBH estimation accuracy over existing CBH estimation methods which are based on height percentiles in the airborne laser scanner data. However, being based on the idea of moving voxel, this algorithm has one main advantage over existing CBH estimation methods in the context of forest fire modeling: it has great potential in providing information about vertical fuel continuity. This information can be used to create vertical fuel continuity maps which can provide more realistic information on the risk of crown fires compared to CBH.

Real-time monitoring of laser scribing process utilizing high-speed camera

Currently, laser scribing is growing material processing method in the industry. Benefits of laser scribing technology are studied for example for improving an efficiency of solar cells. Due high-quality requirement of the fast scribing process, it is important to monitor the process in real time for detecting possible defects during the process. However, there is a lack of studies of laser scribing real time monitoring. Commonly used monitoring methods developed for other laser processes such a laser welding, are sufficient slow and existed applications cannot be implemented in fast laser scribing monitoring. The aim of this thesis is to find a method for laser scribing monitoring with a high-speed camera and evaluate reliability and performance of the developed monitoring system with experiments. The laser used in experiments is an IPG ytterbium pulsed fiber laser with 20 W maximum average power and Scan head optics used in the laser is Scanlab’s Hurryscan 14 II with an f100 tele-centric lens. The camera was connected to laser scanner using camera adapter to follow the laser process. A powerful fully programmable industrial computer was chosen for executing image processing and analysis. Algorithms for defect analysis, which are based on particle analysis, were developed using LabVIEW system design software. The performance of the algorithms was analyzed by analyzing a non-moving image from the scribing line with resolution 960x20 pixel. As a result, the maximum analysis speed was 560 frames per second. Reliability of the algorithm was evaluated by imaging scribing path with a variable number of defects 2000 mm/s when the laser was turned off and image analysis speed was 430 frames per second. The experiment was successful and as a result, the algorithms detected all defects from the scribing path. The final monitoring experiment was performed during a laser process. However, it was challenging to get active laser illumination work with the laser scanner due physical dimensions of the laser lens and the scanner. For reliable error detection, the illumination system is needed to be replaced.

Jauhinterien valmistuksen kehittäminen

Diplomityö käsittelee eräälle paperiteollisuuden komponentteja valmistavalle yritykselle tehtyä tutkimusta, jossa tutkittiin erilaisia valmistusmenetelmiä, joilla voidaan valmistaa uudenlaisia jauhinteriä. Diplomityössä ideoitiin erilaisia jauhinteränkonstruktiovaihtoehtoja. Vaihtoehtoja havainnollistamaan piirrettiin jokaisesta ratkaisusta 3D- mallit. Vaihtoehtojen pohjalta päätettiin suoritettavat valmistustestaukset. Työssä suoritettiin valmistustestejä kuitulaserilla, hiilidioksidilaserilla sekä hienosädeplasmalla. Näiden testien perusteella saatiin näkemys siitä, mikä konstruktiovaihto on valmistusteknisesti paras, täyttäen samalla jauhinterälle asetetut vaatimukset. Diplomityön tuloksena syntyi toimiva ja kustannustehokas ratkaisu jauhinterien valmistamiseksi.

Kolmiulotteisen konenakojärjestelmän soveltuminen matkapuhelimen alikokoonpanojen testaukseen massatuotannossa

Tässä diplomityössä tutkitaan kolmiulotteisen konenak6järjestelmän soveltuvuutta matkapuhelimien alikokoonpanojen testaukseen massatuotannossa. Tavoitteena oli saada tietoa 3D järjestelmän käytettävyydestä suorituskyvyn ja kapasiteetin suhteen sekä selvittää järjestelmän joustavuutta testattavia tuotteita vaihdettaessa. Haluttiin myös selvittää, että ratkaiseeko 3D järjestelmä käytössä olevan 2D järjestelmän kanssa ilmenneitä ongelmia Järjestelmän suorituskykyä tutkittiin tekemällä testiajoja, joista saatuja tuloksia analysoitiin tilastollisella laadunvalvontaohjelmistolla. Varsinaisen kehitystyön teki konenäköjärjestelmiin erikoistunut alihankkija, jolla on kokemusta 3D testauksesta muilta teollisuuden aloilta. Matkapuhelimien alikokoonpanojen testauksessa laatukriteerit ja tarkkuusvaatimukset ovat kuitenkin liian kovia saavutettaviksi 3D lasertriangulaatioon perustuvaa testausjärjestelmää käytettäessä

3D-robottipoimintajärjestelmän kehittäminen

Lasertekniikkaa hyödyntävä 3D-kuvaustekniikka tuo uusia mahdollisuuksia robotilla suoritettavaan kasastapoimintaan. Kasasta otetun syvyyskuvan avulla tuotteista voidaan määrittää perinteisen XY-paikkatiedon lisäksi tuotteen korkeus- ja asentotieto. Näitä uusia ominaisuuksia hyödyntämällä robotilla voidaan suorittaa yksittäisen tuotteen poiminta kasasta eri korkeuksilta ja eri asennoista. Diplomityö kuuluu osana Master Automation Groupin ensimmäiseen 3D-tekniikkaan perustuvaan MAG PixCell 3D -robosoituun kappaleenkäsittelysoluun. Työn tavoitteena on kehittääsyvyyskuvan käsittelyyn algoritmeja, joiden avulla robotilla voidaan poimia yksitellen kasassa olevia metallisia saksen teriä. Algoritmien tarkoituksena on varmistaa kasasta löydettyjen terien poimittavuus sekä määrittää poimittavien terien korkeudet ja asennot. Tarkastusten jälkeen robotille välitetään terien XYZ-koordinaatti- ja asentotiedot.

3D Surface Modeling From Point Clouds

The goal of this thesis is to implement software for creating 3D models from point clouds. Point clouds are acquired with stereo cameras, monocular systems or laser scanners. The created 3D models are triangular models or NURBS (Non-Uniform Rational B-Splines) models. Triangular models are constructed from selected areas from the point clouds and resulted triangular models are translated into a set of quads. The quads are further translated into an estimated grid structure and used for NURBS surface approximation. Finally, we have a set of NURBS surfaces which represent the whole model. The problem wasn’t so easy to solve. The selected triangular surface reconstruction algorithm did not deal well with noise in point clouds. To handle this problem, a clustering method is introduced for simplificating the model and removing noise. As we had better results with the smaller point clouds produced by clustering, we used points in clusters to better estimate the grids for NURBS models. The overall results were good when the point cloud did not have much noise. The point clouds with small amount of error had good results as the triangular model was solid. NURBS surface reconstruction performed well on solid models.

Characterization Of Process Efficiency Improvement In Laser Additive Manufacturing

Laser additive manufacturing (LAM), known also as 3D printing, has gained a lot of interest in past recent years within various industries, such as medical and aerospace industries. LAM enables fabrication of complex 3D geometries by melting metal powder layer by layer with laser beam. Research in laser additive manufacturing has been focused in development of new materials and new applications in past 10 years. Since this technology is on cutting edge, efficiency of manufacturing process is in center role of research of this industry. Aim of this thesis is to characterize methods for process efficiency improvements in laser additive manufacturing. The aim is also to clarify the effect of process parameters to the stability of the process and in microstructure of manufactured pieces. Experimental tests of this thesis were made with various process parameters and their effect on build pieces has been studied, when additive manufacturing was performed with a modified research machine representing EOSINT M-series and with EOS EOSINT M280. Material used was stainless steel 17-4 PH. Also, some of the methods for process efficiency improvements were tested. Literature review of this thesis presents basics of laser additive manufacturing, methods for improve the process efficiency and laser beam – material- interaction. It was observed that there are only few public studies about process efficiency of laser additive manufacturing of stainless steel. According to literature, it is possible to improve process efficiency with higher power lasers and thicker layer thicknesses. The process efficiency improvement is possible if the effect of process parameter changes in manufactured pieces is known. According to experiments carried out in this thesis, it was concluded that process parameters have major role in single track formation in laser additive manufacturing. Rough estimation equations were created to describe the effect of input parameters to output parameters. The experimental results showed that the WDA (width-depth-area of cross-sections of single track) is correlating exponentially with energy density input. The energy density input is combination of the input parameters of laser power, laser beam spot diameter and scan speed. The use of skin-core technique enables improvement of process efficiency as the core of the part is manufactured with higher laser power and thicker layer thickness and the skin with lower laser power and thinner layer thickness in order to maintain high resolution. In this technique the interface between skin and core must have overlapping in order to achieve full dense parts. It was also noticed in this thesis that keyhole can be formed in LAM process. It was noticed that the threshold intensity value of 106 W/cm2 was exceeded during the tests. This means that in these tests the keyhole formation was possible.

Laser cladding with scanning optics

Scanning optics create different types of phenomena and limitation to cladding process compared to cladding with static optics. This work concentrates on identifying and explaining the special features of laser cladding with scanning optics. Scanner optics changes cladding process energy input mechanics. Laser energy is introduced into the process through a relatively small laser spot which moves rapidly back and forth, distributing the energy to a relatively large area. The moving laser spot was noticed to cause dynamic movement in the melt pool. Due to different energy input mechanism scanner optic can make cladding process unstable if parameter selection is not done carefully. Especially laser beam intensity and scanning frequency have significant role in the process stability. The laser beam scanning frequency determines how long the laser beam affects with specific place local specific energy input. It was determined that if the scanning frequency in too low, under 40 Hz, scanned beam can start to vaporize material. The intensity in turn determines on how large package this energy is brought and if the intensity of the laser beam was too high, over 191 kW/cm2, laser beam started to vaporize material. If there was vapor formation noticed in the melt pool, the process starts to resample more laser alloying due to deep penetration of laser beam in to the substrate. Scanner optics enables more flexibility to the process than static optics. The numerical adjustment of scanning amplitude enables clad bead width adjustment. In turn scanner power modulation (where laser power is adjusted according to where the scanner is pointing) enables modification of clad bead cross-section geometry when laser power can be adjusted locally and thus affect how much laser beam melts material in each sector. Power modulation is also an important factor in terms of process stability. When a linear scanner is used, oscillating the scanning mirror causes a dwell time in scanning amplitude border area, where the scanning mirror changes the direction of movement. This can cause excessive energy input to this area which in turn can cause vaporization and process instability. This process instability can be avoided by decreasing energy in this region by power modulation. Powder feeding parameters have a significant role in terms of process stability. It was determined that with certain powder feeding parameter combinations powder cloud behavior became unstable, due to the vaporizing powder material in powder cloud. Mainly this was noticed, when either or both the scanning frequency or powder feeding gas flow was low or steep powder feeding angle was used. When powder material vaporization occurred, it created vapor flow, which prevented powder material to reach the melt pool and thus dilution increased. Also powder material vaporization was noticed to produce emission of light at wavelength range of visible light. This emission intensity was noticed to be correlated with the amount of vaporization in the powder cloud.

Welding of additively manufactured stainless steel parts: Comparative study between sheet metal and selective laser melted parts

Additive manufacturing is a fast growing manufacturing technology capable of producing complex objects without the need for conventional manufacturing process planning. During the process the work piece is built by adding material one layer at a time according to a digital 3D CAD model. At first additive manufacturing was mainly used to make prototypes but the development of the technology has made it possible to also make final products. Welding is the most common joining method for metallic materials. As the maximum part size of additive manufacturing is often limited, it may sometimes be required to join two or more additively manufactured parts together. However there has been almost no research on the welding of additively manufactured parts so far, which means that there has been very little information available on the possible differences compared to the welding of sheet metal parts. The aim of this study was to compare the weld joint properties of additively manufactured parts to those of sheet metal parts. The welding process that was used was TIG welding and the test material was 316L austenitic stainless steel. Weld joint properties were studied by making tensile, bend and hardness tests and by studying the weld microstructures with a microscope. Results show that there are certain characteristics in the welds of additively manufactured parts. The building direction of the test pieces has some impact on the mechanical properties of the weld. Nevertheless all the welds exhibited higher yield strength than the sheet metal welds but at the same time elongation at break was lower. It was concluded that TIG welding is a feasible process for welding additively manufactured parts.

Katsaus lisäävän valmistuksen (aka 3D-tulostus) mahdollisuuksiin ja kustannuksiin metallisten tuotteiden valmistuksessa: Case jauhepetitekniikka

Suurelle yleisölle lisäävä valmistustekniikka eli ns. 3D-tulostustekniikka näyttäytyy lehtien otsikoissa ja artikkeleissa esiin pulpahtavana ”muotiaiheena”, mutta sekä muovien 3D-tulostustekniikka että metallienkin vastaava valmistustekniikka on ollut olemassa maailmalla ja Suomessa 80-luvun puolivälistä alkaen. Yhdysvalloissa ja Saksassa tekniikkaa käytetään valmistavassa teollisuudessa toiminnallisten osien tuotannossa. Esimerkiksi lentokoneen suihkumoottorien osia ja lääketieteellisiä välineitä tehdään metallijauheesta lisäävän valmistuksen avulla. Itse asiassa eräs menetelmä metalliesineiden valmistamiseksi lasersäteen avulla keksittiin Suomessa ja sitä myös kehiteltiin täällä, mutta teollisuudenala lähti aikanaan nousuun Saksassa. Lisäävä valmistus on tällä hetkellä maailmanlaajuisesti eräs kiinnostavista tuotantotekniikoista, jonka uskotaan muuttavan monia asioita tuotteiden suunnittelussa, toiminnoissa ja valmistuksessa. Tämä tekniikka ei kiinnosta pelkästään valmistavaa teollisuutta, vaan tietotekniikan, lääketieteen, koruvalmistuksen ja muotoilun osaajat sekä uusien liiketoimintamallien kehittäjät ja logistiikka operaattorit ovat teknologiasta kiinnostuneita. Suomelle 3D-tulostustekniikka on suuri mahdollisuus, sillä maassamme on vahva teollinen tieto- ja viestintätekniikkaosaaminen sekä lisäksi olemme maassamme erikoistuneet varsin vaativien teollisiin laitteiden valmistukseen. Eräät suurimmista mahdollisuuksista tällä tekniikalla ovat toimitusketjuihin liittyvät muutokset. Uutta on, että pienetkin yritykset ja organisaatiot voivat soveltaa tätä tekniikkaa valmistuksessa ja jopa kehitellä täysin uusia tuotteita. On myös arvioitu, että lisäävän valmistuksen merkitys valmistustapoihin ja toimitusketjuihin voi olla suurempi kuin koskaan aikaisemmin minkään teknologisen uudistuksen kohdalla. Lisäävästä valmistuksesta usein puhutaankin kolmantena teollisena vallankumouksena juuri tämän takia. 3D-tulostuksen kustannuksia tarkasteltaessa on tärkeätä huomata että vain sulatetun jauheen määrä ratkaisee, ei käytettävän geometrian monimutkaisuus. Tämä erottaa perinteisen ja lisäävän valmistuksen toisistaan. Perinteisesti kappaleen keventäminen on maksanut ”ylimääräistä”, kun taas lisäävässä valmistuksessa kappaleen keveys on jopa kustannusta alentava tekijä. Valmistettavan kappaleen korkeus on yksi kriittisimpiä kustannuksiin vaikuttavia tekijöitä. Tämän vuoksi useamman kappaleen valmistus yhdellä kertaa parantaa kannattavuutta huomattavasti. Samalla kertaa voi ja itse asiassa kannattaakin valmistaa keskenään erilaisia kappaleita. Perinteiset valmistustavat sen sijaan ovat nykyajan vaatimuksille liian hitaita; ne joustavat huonosti, kun kyseessä on pienet, asiakaslähtöiset erät. Trendi on globaalisti kohden yksilöllisiä asiakaslähtöisiä tuotteita, jolloin myös valmistustekniikoiden on oltava joustavia pysyäkseen näiden vaatimusten perässä. Lisäävä valmistus sopii erityisesti hyvin piensarjatuotantoon. Suuremmissa valmistuserissä kuitenkin perinteiset tekniikat ovat kustannustehokkaampia.

Defining the keyhole modes – the effects on the weld geometry and the molten pool behaviour in high power laser welding of stainless steels

Keyhole welding, meaning that the laser beam forms a vapour cavity inside the steel, is one of the two types of laser welding processes and currently it is used in few industrial applications. Modern high power solid state lasers are becoming more used generally, but not all process fundamentals and phenomena of the process are well known and understanding of these helps to improve quality of final products. This study concentrates on the process fundamentals and the behaviour of the keyhole welding process by the means of real time high speed x-ray videography. One of the problem areas in laser welding has been mixing of the filler wire into the weld; the phenomena are explained and also one possible solution for this problem is presented in this study. The argument of this thesis is that the keyhole laser welding process has three keyhole modes that behave differently. These modes are trap, cylinder and kaleidoscope. Two of these have sub-modes, in which the keyhole behaves similarly but the molten pool changes behaviour and geometry of the resulting weld is different. X-ray videography was used to visualize the actual keyhole side view profile during the welding process. Several methods were applied to analyse and compile high speed x-ray video data to achieve a clearer image of the keyhole side view. Averaging was used to measure the keyhole side view outline, which was used to reconstruct a 3D-model of the actual keyhole. This 3D-model was taken as basis for calculation of the vapour volume inside of the keyhole for each laser parameter combination and joint geometry. Four different joint geometries were tested, partial penetration bead on plate and I-butt joint and full penetration bead on plate and I-butt joint. The comparison was performed with selected pairs and also compared all combinations together.

Energy and raw material consumption analysis of powder bed fusion: case study: CNC machining and laser additive manufacturing

Laser additive manufacturing (LAM), known also as 3D printing, is a powder bed fusion (PBF) type of additive manufacturing (AM) technology used to manufacture metal parts layer by layer by assist of laser beam. The development of the technology from building just prototype parts to functional parts is due to design flexibility. And also possibility to manufacture tailored and optimised components in terms of performance and strength to weight ratio of final parts. The study of energy and raw material consumption in LAM is essential as it might facilitate the adoption and usage of the technique in manufacturing industries. The objective this thesis was find the impact of LAM on environmental and economic aspects and to conduct life cycle inventory of CNC machining and LAM in terms of energy and raw material consumption at production phases. Literature overview in this thesis include sustainability issues in manufacturing industries with focus on environmental and economic aspects. Also life cycle assessment and its applicability in manufacturing industry were studied. UPLCI-CO2PE! Initiative was identified as mostly applied exiting methodology to conduct LCI analysis in discrete manufacturing process like LAM. Many of the reviewed literature had focused to PBF of polymeric material and only few had considered metallic materials. The studies that had included metallic materials had only measured input and output energy or materials of the process and compared to different AM systems without comparing to any competitive process. Neither did any include effect of process variation when building metallic parts with LAM. Experimental testing were carried out to make dissimilar samples with CNC machining and LAM in this thesis. Test samples were designed to include part complexity and weight reductions. PUMA 2500Y lathe machine was used in the CNC machining whereas a modified research machine representing EOSINT M-series was used for the LAM. The raw material used for making the test pieces were stainless steel 316L bar (CNC machined parts) and stainless steel 316L powder (LAM built parts). An analysis of power, time, and the energy consumed in each of the manufacturing processes on production phase showed that LAM utilises more energy than CNC machining. The high energy consumption was as result of duration of production. Energy consumption profiles in CNC machining showed fluctuations with high and low power ranges. LAM energy usage within specific mode (standby, heating, process, sawing) remained relatively constant through the production. CNC machining was limited in terms of manufacturing freedom as it was not possible to manufacture all the designed sample by machining. And the one which was possible was aided with large amount of material removed as waste. Planning phase in LAM was shorter than in CNC machining as the latter required many preparation steps. Specific energy consumption (SEC) were estimated in LAM based on the practical results and assumed platform utilisation. The estimated platform utilisation showed SEC could reduce when more parts were placed in one build than it was in with the empirical results in this thesis (six parts).

Näin opetan lisäävää valmistusta ja 3D-tulostusta: Pohdintoja uuden teknologian opetuksesta ja koulutuksesta

Additive manufacturing (shortened as AM), or more commonly 3D printing, consists of wide variety of different modern manufacturing technologies. AM is based on direct printing of a digital 3D model to a final product which is fabricated adding material layer by layer. This is from where term additive manufacturing has its origin. It is not only material what is added, but it is also value, properties etc. which are added. AM enables production of different and even better products compared to conventional manufacturing technologies. An estimation of potential of additive manufacturing can be gathered by considering the potential of laser cutting, which is one of the most widely used modern manufacturing technologies. This technique has been used over 40 years, and whole market around this technology is at the moment c. four billion euros and yearly growth is around 10 %. One factor affecting this success of laser cutting is that laser cutting enables radical improvements to products made of flat sheet. AM and 3D printing will do the same for three dimensional parts. Laser devices, which are at the moment used in 3D printing, are globally at the moment only around 1% of all laser devices used in any fabrication technology, so even with a cautious estimate the potential growth of at least 100 % is coming in next few years. Role of education is very important, when this kind of modern technology is industrially implemented. When both generation entering to work life and also generation who has been a while in work life understands new technology, its potential and limitations, this is the point when also product design can be rethought Potential of product design is driving force for wide use of additive manufacturing and 3D printing. Utilization of additive manufacturing and 3D printing is also opportunity for Finland and Finnish industry. This technology can save Finnish manufacturing industry. This technique has stron potential, as Finland has traditionally strong industrial know-how and good ICT knowledge.

3D-partikkelit aloittelijoille : tarkastelussa 3D-Kalevala-projekti

Opinnäytteeni teososana on 3D-Kalevala projektinimellä tunnetun animaation partikkeliefektit. Tarkastelen tarkemmin elokuvan Lumi-, Kylä-, Paja- ja Luola-kohtauksia. 3D-Kalevala on tietokoneella tehty animaatio, joka kertoo Suomen kansalliseepoksen Kalevalan päähenkilöstä Väinämöisestä. Elokuvassa vanha Väinämöinen muistelee nuoruutensa tapahtumia. 3D-Kalevala-projekti käynnistettiin vuonna 2003, mutta sen alkuperäiset tekijät eivät saaneet sitä valmiiksi, ja projektin teko keskeytettiin vuonna 2005. Vuoden 2006 keväällä projektiin perustettiin uusi kahden verkkoviestinnän opiskelijan projektiryhmä, jonka tehtävänä oli saada elokuva valmiiksi vuoden 2007 kevääseen mennessä. Kun aloitimme projektin tekemisen, olin kolmiulotteisessa mallinnuksessa aloittelija. Tästä johtuen opinnäytteen kirjallinen osa on opas aloittelijoille partikkelien maailmaan. Selvitän raportissani miten elokuvan partikkeliefektit rakennettiin, mitä niiden tekeminen minulta vaati ja miten ne loppujen lopuksi mielestäni onnistuivat. Elokuvan efektit tehtiin 3D Studio Max-ohjelman versiolla 6.0, ja tämän takia kirjoitankin efektien rakentamisesta kyseisen ohjelman keinoin. Projektin suuruuden vuoksi molemmat tekijät pääsivät tekemään monenlaisia töitä, mutta päävastuualueet olivat selvät. Minun osani oli tehdä elokuvaan efektejä. Partikkeliefektit ovat proseduraalisia efektejä, joiden avulla on mahdollista tehdä aidon näköisiä luonnonilmiöitä, kuten tulta, savua, kipinöitä ja veden roiskeita. Koska partikkeliefektit mallintavat reaalimaailman ilmiöitä, on tekijän hyvä olla kiinnostunut selvittämään ilmiöiden käyttäytymistä luonnossa. Raportoin myös projektin aikana huomaamistani hyvistä tavoista opiskella itsenäisesti partikkelien rakentamiseen käytettyjä tekniikoita. On hyvä lukea 3D Studio Maxin tasokasta käyttöohjesovellusta, tutustua Internetissä löytyviin 3D-aiheisiin foorumeihin, käydä aiheesta tutoriaaleja läpi sekä tutustua ohjelman ominaisuuksiin kokeilemalla ja tutkimalla itsenäisesti. Elokuvan efektit onnistuivat mielestäni kiitettävästi ottaen huomioon lähtötasoni. Löysin tapoja kehittää itseäni ja helppoja keinoja toteuttaa realistista jälkeä efektien rakentamisessa. Toivon, että raportistani olisi jollekin 3D-partikkeliefekteistä kiinnostuneelle hyötyä.

Keskeytyneen uusmediatuotannon jatkaminen : kohteena 3D-Kalevala

Opinnäytetyöni aiheena on keskeytyneen uusmediatuotannon jatkaminen. Monimuototyön työosana toteutettiin 7-minuuttinen 3D animaatio, joka kertoo Suomen kansalliseepoksen Kalevalan taruhahmosta Väinämöisestä, muistelemassa menneitä. Projekti käynnistettiin alun perin vuonna 2003, mutta resurssien vähetessä se keskeytyi vuoden 2005 loppupuolella. Keväällä 2006 projekti käynnistettiin uuden projektiryhmän voimin, jossa olin itse mukana vastaten muun muassa tuotannonohjauksesta ja hahmoanimoinneista. Uusi projektiryhmä oli henkilöstöresursseiltaan pieni, joten vastuualueet olivat monipuolisia. Keskeytyneen projektin jatkamisen ja haltuunoton haasteellisuus sai minut kiinnostumaan tutkia aihetta tarkemmin. Tuotannonohjaajana vastasin hyvin pitkälle tuotannon uudesta käynnistämisestä ja projektin saattamisesta vihdoin loppuun. Keskeytyneen projektin haltuunotto oli tilanteena kaikille uusi, mikä heijastui vaikeuksina uudelleen käynnistettyyn tuotantoon. Raportin tarkoituksena ei ole olla projektinhallinnallinen käsikirja, sillä käsittelen vain tämän projektin jatkolle oleellisina pidettyjä asioita. Projekti toivottavasti kuitenkin antaa kuvan huolellisen projektinhallinnan ja onnistuneen tuotannonohjauksen tärkeydestä. Jokainen keskeytynyt projekti ei ole aina välttämättä elvytettävissä - ainakaan alkuperäisessä muodossaan. Projektin jatkamista tulisi katsoa aina tapauskohtaisesti. Keskeytymiseen on useimmiten syynsä, joten ongelmien selvittäminen ja niihin puuttuminen on tärkeää ennen jatkopäätöksen tekemistä. Myös projektityöskentelytavat kehittyvät ja pohdin työssäni uusien projektinhallintatapojen, kuten wikien käyttöä projektinhallinnan työkaluna ja projektiyhteisön välistä viestintää edistävänä työkaluna.