Abstract: A method for manufacturing a part (20) including forming successive metal layers (201 . . . 20n), stacked on each other, each layer being formed by depositing an aluminum alloy (15), the aluminum alloy being subjected to an energy input so as to melt down and form said layer when solidifying, the method being characterized in that: during the manufacture of the part, before the formation of each layer, the aluminum alloy powder is maintained at a temperature higher than or equal to 25° C. and lower than 160° C. or comprised from 300° C. to 500° C.; the method includes applying, to the part, a post-manufacture heat treatment at a temperature comprised from 300° C. to 400° C.; the post-manufacture heat treatment begins with an increase in temperature, the increase being performed at a temperature rise rate higher than 5° C. per minute; the method does not include solution heat treatment followed by quenching.

Abstract: The invention relates to a method for producing a part, comprising the production of successive solid metallic layers (201...20n), each layer being produced by depositing a metal (25) called filler metal, said method being characterized in that the part has a specific grain structure. The invention also relates to a part obtained by means of this method and an alternative method. The alloy used in the additive manufacturing method of the invention makes it possible to obtain parts with exceptional properties.

Abstract: The invention relates to a method for producing a part, comprising the production of successive solid metallic layers (201 . . . 20n), each layer being produced by depositing a metal (25) called filler metal, said filler metal consisting of an aluminium alloy comprising at least the following alloying elements: Zr, in a mass fraction of 0.60 to 1.40%, Mn, in a mass fraction of 2.00 to 5.00%, Ni, in a mass fraction of 1.00 to 5.00%, Cu, in a mass fraction of 1.00 to 5.00%. The invention also relates to a part obtained by means of the method. The alloy used in the additive manufacturing method of the invention makes it possible to obtain parts with exceptional properties.

Abstract: Process for manufacturing a part (20) including a formation of successive metal layers (201 . . . 20n), which are superimposed on each other, each layer being formed by depositing a filler metal (15, 25), the filler metal being subjected to a supply of energy so as to become molten and to constitute, upon solidifying, said layer, the process being characterized in that the filler metal (15, 25) is an aluminum alloy including the following alloy elements (% by weight); Mg: 2.0%-5.0%; Zr: 0.5%-1.0%; Fe: 0.6%-3.0%; optionally Zn: ?0.5%; optionally Cu: ?0.5%; other alloy elements, in total ?4.0%, and individually ?1.0%; impurities: <0.05% individually, and in total <0.15%; remainder aluminum.

Abstract: The invention relates to a thin sheet metal for a reinforcing or structural part of a car body, consisting of an aluminum alloy. The invention also relates to the method for producing such a sheet metal and to the use of such a sheet metal for producing a reinforcing or structural part for a car body. The sheet metals according to the invention advantageously have a modulus of elasticity of at least 77 GPa.

Abstract: A method for manufacturing a part (20) including a formation of successive metallic layers (201 . . . 20n), superimposed on one another, each layer being formed by the deposition of a filler metal (15, 25), the filler metal being subjected to an energy input so as to melt and constitute, when solidifying, said layer, the method being characterized in that the filler metal (15, 25) is an aluminum alloy including the following alloy elements (weight %): Ni: >3% and ?7%; Fe: 0%-4%; optionally Zr: ?0.5%; optionally Si: ?0.5%; optionally Cu: ?1%; optionally Mg: ?0.5%; other alloy elements: <0.1% individually, and <0.5% all in all; impurities: <0.05% individually, and <0.15% all in all; the remainder consisting of aluminum.

Abstract: An object of the invention is a method for manufacturing a part including a formation of successive metallic layers (201, . . . 20n), superimposed on one another, each layer being formed by the deposition of a filler metal (15, 35), the filler metal being subjected to an energy supply so as to melt and constitute, when solidifying, said layer, the method being characterized in that the filler metal (15, 35) is an aluminum alloy including the following alloy elements, in weight percents: Mg: 0%-6%; Zr: 0.7%-2.5%, preferably according to a first variant >1% and ?2.5%; or preferably according to a second variant 0.7-2%; and possibly 0.7-1.6%; and possibly 0.7-1.4%; and possibly 0.8-1.4%; and possibly 0.8-1.2%; at least one alloy element selected from Fe, Cu, Mn, Ni and/or La: at least 0.1%, preferably at least 0.25%, more preferably at least 0.5% per element; impurities: <0.05% individually, and preferably <0.15% all in all.

Abstract: The invention relates to a method for the laser welding of monolithic semi-finished products made from aluminium alloy, without filler wire, known to the person skilled in the art as “remote laser welding”, comprising the following steps: supplying at least two aluminium alloy semi-finished products, of which at least one is a rolled sheet of composition (wt.-%): Si: 2.5-14, preferably 2.7-5.0; Fe: 0.05-0.80, preferably 0.15-0.60; Cu: ?0.20, preferably ?0.10, also <0.05, and even <200, also 100 ppm; Mg: 0.05-0.80, preferably 0.20-0.40; Mn: ?0.70, preferably ?0.30; Cr: <0.35; Ti: 0.02-0.30; Sr up to 500 ppm; Na up to 200 ppm; Sb up to 0.15%, other elements <0.05 each and <0.15 total, remainder aluminium, on the condition that A: 5.2 Fe+1.95 Si?0.5 Cu?Mg?7.0; and welding semi-finished products made from aluminium alloy, without filler wire, a method known the person skilled in the art as “remote laser welding”.

Abstract: A wrought aluminium alloy product having the following chemical composition, expressed in wt %: 1.3%?Si?12%, 1.35%?Fe?1.8% wherein the total Fe+Si content is higher than 3.4%, preferably 3.6%; 0.15%?Cu?6%; 0.6%?Mg?3%; optionally, one or more of the following elements: Mn?1%; Cr?0.25%; Ni?3%; Zn?1%; Ti?0.1%; Bi?0.7%; In?0.7%; Sn?0.7%; other elements <0.05% each and 0.15% in total; and the balance aluminium.

Abstract: The invention relates to a thin sheet metal for a reinforcing or structural part of a car body, consisting of an aluminium alloy of the following composition, in weight per cent: Si: 10-14; Mg: 0.05-0.8; Cu: 0-0.2; Fe: 0-0.5; Mn: 0-0.5; optionally at least one element selected from Na, Ca, Sr, Ba, Yt and Li, the quantity of said element if selected being between 0.01 and 0.05 for Na, Ca, Sr, Ba and Yt and between 0.1 and 0.3 for Li; Sb: 0-0.05; Cr: 0-0.1; Ti: 0-0.2; other elements amounting to <0.05 each and a total of <0.15; and the remainder being aluminium. The invention also relates to the method for producing such a sheet metal and to the use of such a sheet metal for producing a reinforcing or strucural part for a car body. The sheet metals according to the invention advantageously have a modulus of elasticity of at least 77 GPa.

Abstract: The invention relates to a method for the laser welding of monolithic semi-finished products made from aluminium alloy, without filler wire, known to the person skilled in the art as “remote laser welding”, comprising the following steps: supplying at least two aluminium alloy semi-finished products, of which at least one is a rolled sheet of composition (wt.-%): Si: 2.5-14, preferably 2.7-5.0; Fe: 0.05-0.80, preferably 0.15-0.60; Cu: ?0.20, preferably ?0.10, also <0.05, and even <200, also 100 ppm; Mg: 0.05-0.80, preferably 0.20-0.40; Mn: ?0.70, preferably ?0.30; Cr: <0.35; Ti: 0.02-0.30; Sr up to 500 ppm; Na up to 200 ppm; Sb up to 0.15%, other elements <0.05 each and <0.15 total, remainder aluminium, on the condition that A: 5.2 Fe+1.95 Si?0.5 Cu?Mg?7.0; and welding semi-finished products made from aluminium alloy, without filler wire, a method known the person skilled in the art as “remote laser welding”.

Abstract: A wrought aluminium alloy product having the following chemical composition, expressed in wt %: 1.3%?Si?12%, 1.35%?Fe?1.8% wherein the total Fe+Si content is higher than 3.4%, preferably 3.6%; 0.15%?Cu?6%; 0.6%?Mg?3%; optionally, one or more of the following elements: Mn?1%; Cr?0.25%; Ni?3%; Zn?1%; Ti?0.1%; Bi?0.7%; In?0.7%; Sn?0.7%; other elements <0.05% each and 0.15% in total; and the balance aluminium.

Abstract: Tools and techniques are described for providing multi-lingual word hyphenation using inductive machine learning on training data. Methods provided by these techniques may receive training data that includes hyphenated words, and may inductively generate hyphenation patterns that represent substrings of these words. The hyphenation patterns may include the substrings and hyphenation codes associated with characters occurring in the substrings. The methods may receive induction parameters applicable to generating the hyphenation patterns, and may store the hyphenation patterns into a language-specific lexicon file. These methods may also receive requests to hyphenate input words that occur in a human language, and may evaluate how to process the request based on the language. The methods may search for hyphenation patterns occurring in the input words, with the hyphenation patterns being stored in the lexicon file.

Abstract: Computer-readable media, computer systems, and computing methods are provided for recommending websites that are relevant to a current website to which a user has navigated. A search engine is used to track a set of websites the user has visited immediately prior to the current website, while predictive model(s) are used to generate a sequence of websites that include the current website and the tracked websites. The sequence is compared against strings of websites within a browser-history log to identify matching strings, where the matching strings include the sequence and a respective candidate website. A probability of relevance is computed from a frequency that each of the matching strings has been visited within a predefined time frame. The probability of relevance for each of the matching strings is ranked against one another to distill the highest-ranked matching strings, which are parsed to extract and present the candidate websites included therein.

Abstract: Auto body roof comprising at least one steel part and a skin part made of aluminum alloy that is attached to the steel part before painting. The aluminum part comprises a sheet of the following composition: Si: 0.7-1.3, Fe<0.5, Cu: 0.5-1.1, Mn: 0.4-1.0, Mg: 0.6-1.2, Zn<0.7, Cr 0.25, Zr+Ti 0.20, other elements <0.05 each and <0.15 total, and the remainder aluminum. The aluminum part, after solution treatment, quenching and age-hardening for three weeks at room temperature, possesses a yield strength R0.2 of less than 170 MPa, and preferably 160 MPa.

Abstract: Computer-readable media, computer systems, and computing methods are provided for recommending websites that are relevant to a current website to which a user has navigated. A search engine is used to track a set of websites the user has visited immediately prior to the current website, while predictive model(s) are used to generate a sequence of websites that include the current website and the tracked websites. The sequence is compared against strings of websites within a browser-history log to identify matching strings, where the matching strings include the sequence and a respective candidate website. A probability of relevance is computed from a frequency that each of the matching strings has been visited within a predefined time frame. The probability of relevance for each of the matching strings is ranked against one another to distill the highest-ranked matching strings, which are parsed to extract and present the candidate websites included therein.

Abstract: Architecture that employs adaptive learning algorithms to adapt a data correction tool to user-specific behavior during runtime. The architecture includes a framework for training and measuring adaptive learning algorithms, adapting the current text correction tool codebase, and one or more different adaptive learning algorithms. This enables a text correction system to adapt the behavior of the text correction system to an individual user based on the user's interaction with the data correction system. This also facilitates the testing and improvements in an adaptive learning algorithm at the vendor before shipping in a product to the end-user. This reduces the risk of shipping a feature the precise behavior of which is different for each user.

Abstract: Various technologies and techniques are disclosed for aggregating and using data collected from multiple computers to modify a later behavior of those computers. In one implementation, a data aggregation system is described. A data collector is operable to collect behavior data over a network from one or more applications used by the computers, and to save the behavior data to a data store. A data installer is operable to access the behavior data in the data store and convert the behavior data into a format that will modify a future operation of at least one of the applications that is used on at least one of the computers. A method for creating and distributing a custom dictionary from data collected from multiple computers is described. A method for identifying related documents from data collected from multiple computers is also described.

Abstract: Architecture that employs adaptive learning algorithms to adapt a data correction tool to user-specific behavior during runtime. The architecture includes a framework for training and measuring adaptive learning algorithms, adapting the current text correction tool codebase, and one or more different adaptive learning algorithms. This enables a text correction system to adapt the behavior of the text correction system to an individual user based on the user's interaction with the data correction system. This also facilitates the testing and improvements in an adaptive learning algorithm at the vendor before shipping in a product to the end-user. This reduces the risk of shipping a feature the precise behavior of which is different for each user.

Abstract: The present invention relates to a method of manipulating a software application and processing data stored in a data source. The method includes receiving a natural language input and analyze the natural language input to identify semantic information contained therein. Portions of the natural language input are associated with command objects and entity objects of a schema based on the semantic information and the natural language input. The method also includes rendering data from the data source in a table of columns and rows based on the schema and the associated portions of the natural language input.