Patent application number | Description | Published |
20080295686 | Method and apparatus for removing contaminants from a reflow apparatus - A reflow apparatus for solder joining electronic components to a substrate includes a reflow chamber, a conveyor to convey a substrate within the chamber, at least one heating element to provide heat to reflow solder on the substrate, and at least one system to remove contaminants generated from the reflow solder. The system is coupled with the chamber for passage of a vapor stream from the chamber through the system. The system comprises a contaminant collection unit in fluid communication with the vapor stream. The contaminant collection unit includes a coil and a collection container. The coil is configured to receive cooled gas therein. The arrangement is such that when introducing cooled gas in the coil, contaminants in the vapor stream condense on the coil, and when ceasing the introduction of cooled gas in the coil, contaminants in the vapor stream are released from the coil and collected in the collection container. Other embodiments and methods for removing contaminants are further disclosed. | 12-04-2008 |
20110272451 | METHOD AND APPARATUS FOR REMOVING CONTAMINANTS FROM A REFLOW APPARATUS - A reflow apparatus for solder joining electronic components to a substrate includes a reflow chamber, a conveyor to convey a substrate within the chamber, at least one heating element to provide heat to reflow solder on the substrate, and at least one system to remove contaminants generated from the reflow solder. The system is coupled with the chamber for passage of a vapor stream from the chamber through the system. The system comprises a contaminant collection unit in fluid communication with the vapor stream. The contaminant collection unit includes a coil and a collection container. The coil is configured to receive cooled gas therein. The arrangement is such that when introducing cooled gas in the coil, contaminants in the vapor stream condense on the coil, and when ceasing the introduction of cooled gas in the coil, contaminants in the vapor stream are released from the coil and collected in the collection container. Other embodiments and methods for removing contaminants are further disclosed. | 11-10-2011 |
Patent application number | Description | Published |
20110262327 | PROCESS FOR DILUTE PHASE INJECTION OF DRY ALKALINE MATERIALS - The present disclosure is directed to the introduction of an additive to a contaminated gas stream. | 10-27-2011 |
20120285352 | PROCESS TO REDUCE EMISSIONS OF NITROGEN OXIDES AND MERCURY FROM COAL-FIRED BOILERS - A flue gas additive is provided that includes both a nitrogenous component to reduce gas phase nitrogen oxides and a halogen-containing component to oxidize gas phase elemental mercury. | 11-15-2012 |
20130034481 | AIR TREATMENT PROCESS FOR DILUTE PHASE INJECTION OF DRY ALKALINE MATERIALS - The present disclosure is directed to the introduction of an additive to a contaminated gas stream. An additive introduction system uses a compressor and carbon dioxide separator to provide a treated carrier gas for introduction of an alkaline additive to a contaminated gas stream. | 02-07-2013 |
20140260966 | AIR TREATMENT PROCESS FOR DILUTE PHASE INJECTION OF DRY ALKALINE MATERIALS - The present disclosure is directed to the introduction of an additive to a contaminated gas stream. An additive introduction system uses a compressor and carbon dioxide separator to provide a treated carrier gas for introduction of an alkaline additive to a contaminated gas stream. | 09-18-2014 |
20150050202 | METHOD TO REDUCE MERCURY, ACID GAS, AND PARTICULATE EMISSIONS - A method is provided in which a contaminated waste gas, comprising particulates, an acid gas, and mercury, is contacted with a mercury removal agent to remove or cause the removal of mercury from the waste gas and a flue gas conditioning agent to alter at least one of a resistivity and cohesivity of the particulates. At least one of the following statements is true: the flue gas conditioning agent is substantially free of SO | 02-19-2015 |
Patent application number | Description | Published |
20140249785 | MODELING SOCIAL BEHAVIOR - A relational event history is determined based on a data set, where the relational event history includes a set of relational events that occurred in time among a set of actors. Data is populated in a probability model based on the relational event history, where the probability model is formulated as a series of conditional probabilities that correspond to a set of sequential decisions by an actor for each relational event, the probability model including one or more statistical parameters and corresponding statistics that relate to one or more of senders of relational events, modes of relational events, topics of relational events, or recipients of relational events. A baseline communications behavior for the relational event history is determined, the baseline including a first set of values for the one or more statistical parameters, and departures from the baseline communications behavior are determined. | 09-04-2014 |
20140250033 | SOCIAL BEHAVIOR HYPOTHESIS TESTING - A relational event history is determined based on a data set, the relational event history including a set of relational events that occurred in time among a set of actors. Data is populated in a probability model based on the relational event history, where the probability model is formulated as a series of conditional probabilities that correspond to a set of sequential decisions by an actor for each relational event, and where the probability model includes one or more statistical parameters and corresponding statistics. A baseline communications behavior for the relational event history is determined based on the populated probability model, and departures from the baseline communications behavior within the relational event history are determined. Determining departures includes determining and testing a hypothesis regarding communications behavior within the relational event history. | 09-04-2014 |
20140250048 | ANALYZING BEHAVIOR IN LIGHT OF SOCIAL CONTEXT - A relational event history is determined based on a data set, the relational event history. Data is populated in a probability model based on the relational event history, where the probability model is formulated as a series of conditional probabilities that correspond to a set of sequential decisions by an actor for each relational event, where the set of sequential decisions includes at least two decisions as to recipients of a relational event, where the probability model includes one or more statistical parameters and corresponding statistics that relate to one or more of senders, modes, topics, or recipients of relational events. A baseline communications behavior for the relational event history is determined based on the populated probability model, the baseline including a first set of values for the one or more statistical parameters, and departures within the relational event history from the baseline communications behavior are determined. | 09-04-2014 |
20140250049 | VISUALIZING SOCIAL BEHAVIOR - One or more user inputs are received. A relational event history is determined based on a data set, where the relational event history includes a set of relational events that occurred in time among a set of actors. Data is populated in a probability model based on the relational event history, where the probability model includes one or more statistical parameters and corresponding statistics that relate to one or more of senders of relational events, modes of relational events, topics of relational events, or recipients of relational events. Graphical analyses of the relational event history are output based on the one or more user inputs. | 09-04-2014 |
20140250050 | ANALYZING BEHAVIOR IN LIGHT OF SOCIAL TIME - A relational event history is determined based on a data set, the relational event history including a set of relational events that occurred in time among a set of actors. Data is populated in a probability model based on the relational event history, where the probability model is formulated as a series of conditional probabilities that correspond to a set of sequential decisions by an actor for each relational event, where the probability model includes one or more statistical parameters and corresponding statistics, and where at least one of the one or more statistics is determined using a decay function. A baseline communications behavior for the relational event history is determined based on the populated probability model, and, based on a second set of values for the statistical parameters, departures within the relational event history from the baseline communications behavior are determined. | 09-04-2014 |
20140250052 | ANALYZING SOCIAL BEHAVIOR - A relational event history is determined based on a data set, the relational event history including a set of relational events that occurred in time among a set of actors. Data is populated in a probability model based on the relational event history, where the probability model is formulated as a series of conditional probabilities that correspond to a set of sequential decisions by an actor for each relational event. The set of sequential decisions includes a decision to send a communication, and one or more decisions as to recipients. For a relational event in the relational event history, one or more possible sequences in which the actor decided to include the recipients of the communication are determined. A baseline communications behavior for the relational event history is determined, and departures from the baseline communications behavior within the relational event history are determined. | 09-04-2014 |